{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T14:06:43Z","timestamp":1789049203236,"version":"build-2803163510"},"reference-count":131,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T00:00:00Z","timestamp":1788998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cancers"],"abstract":"<jats:p>Colorectal cancer remains a leading cause of cancer-related mortality despite a prolonged and preventable precancerous phase. This review examines how artificial intelligence and emerging biomarkers may narrow the persistent gap between detecting established cancer and identifying advanced precursor lesions. Blood-based assays integrating cell-free DNA methylation, mutations, fragmentomic patterns, and other analytes achieve encouraging sensitivity for invasive colorectal cancer but remain substantially less sensitive for advanced adenomas and sessile serrated lesions, particularly in prospective average-risk populations. Machine-learning methods can integrate complementary molecular signals, although many models remain limited by case\u2013control designs, spectrum bias, and inadequate external validation. Computer-aided detection increases adenoma detection and reduces miss rates, but benefits for advanced neoplasia, serrated lesions, colorectal cancer incidence, and mortality remain uncertain. AI-augmented digital pathology may improve polyp classification, dysplasia grading, invasive carcinoma recognition, and case prioritization after lesion removal. The greatest clinical value of these technologies is likely to arise from coordinated use within a multimodal, risk-adapted pathway that expands screening participation, prioritizes colonoscopy for individuals at greatest risk, and preserves high-quality colonoscopy and polypectomy as the central preventive intervention.<\/jats:p>","DOI":"10.3390\/cancers18182940","type":"journal-article","created":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T13:04:57Z","timestamp":1789045497000},"page":"2940","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Bridging the Precancerous Gap in Colorectal Cancer Through AI-Enhanced Liquid Biopsy, Endoscopy, and Digital Pathology"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-0853-1145","authenticated-orcid":false,"given":"Georgios","family":"Saridakis","sequence":"first","affiliation":[{"name":"Laboratory of Translational Oncology, Medical School, University of Crete, 70013 Heraklion, Greece"},{"name":"Department of Medical Oncology, University General Hospital of Heraklion, 71110 Heraklion, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0587-1713","authenticated-orcid":false,"given":"Dimitrios","family":"Mavroudis","sequence":"additional","affiliation":[{"name":"Laboratory of Translational Oncology, Medical School, University of Crete, 70013 Heraklion, Greece"},{"name":"Department of Medical Oncology, University General Hospital of Heraklion, 71110 Heraklion, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1642-1147","authenticated-orcid":false,"given":"John","family":"Souglakos","sequence":"additional","affiliation":[{"name":"Laboratory of Translational Oncology, Medical School, University of Crete, 70013 Heraklion, Greece"},{"name":"Department of Medical Oncology, University General Hospital of Heraklion, 71110 Heraklion, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,9,10]]},"reference":[{"key":"ref_1","first-page":"229","article-title":"Global Cancer Statistics 2022: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries","volume":"74","author":"Bray","year":"2024","journal-title":"CA Cancer J. Clin."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1038\/s41571-026-01149-8","article-title":"Emerging Trends in the Global Burden of Colorectal Cancer","volume":"23","author":"Lee","year":"2026","journal-title":"Nat. Rev. Clin. Oncol."},{"key":"ref_3","first-page":"e70067","article-title":"Colorectal Cancer Statistics, 2026","volume":"76","author":"Siegel","year":"2026","journal-title":"CA Cancer J. Clin."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1001\/jama.2025.10218","article-title":"Early-Onset Gastrointestinal Cancers: A Review","volume":"334","author":"Jayakrishnan","year":"2025","journal-title":"JAMA"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1467","DOI":"10.1016\/S0140-6736(19)32319-0","article-title":"Colorectal Cancer","volume":"394","author":"Dekker","year":"2019","journal-title":"Lancet"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.gie.2017.04.003","article-title":"Colorectal Cancer Screening: Recommendations for Physicians and Patients from the U.S. Multi-Society Task Force on Colorectal Cancer","volume":"86","author":"Rex","year":"2017","journal-title":"Gastrointest. Endosc."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1007\/s00384-025-04952-4","article-title":"Missed Colorectal Cancer Diagnosis by Screening Colonoscopy Based on the PLCO Cancer Screening Trial","volume":"40","author":"Li","year":"2025","journal-title":"Int. J. Colorectal Dis."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1102","DOI":"10.1001\/jamainternmed.2025.2875","article-title":"Frequent Missed Opportunities for Earlier Diagnosis of Advanced-Stage Colorectal or Lung Cancer","volume":"185","author":"Zimolzak","year":"2025","journal-title":"JAMA Intern. Med."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1661","DOI":"10.1053\/j.gastro.2019.01.260","article-title":"Magnitude, Risk Factors, and Factors Associated With Adenoma Miss Rate of Tandem Colonoscopy: A Systematic Review and Meta-Analysis","volume":"156","author":"Zhao","year":"2019","journal-title":"Gastroenterology"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1978","DOI":"10.1001\/jama.2021.4417","article-title":"Screening for Colorectal Cancer: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force","volume":"325","author":"Lin","year":"2021","journal-title":"JAMA"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1056\/NEJMoa2304714","article-title":"A Cell-Free DNA Blood-Based Test for Colorectal Cancer Screening","volume":"390","author":"Chung","year":"2024","journal-title":"N. Engl. J. Med."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1486","DOI":"10.1016\/j.cgh.2025.04.003","article-title":"AGA Clinical Practice Update on Current Role of Blood Tests for Colorectal Cancer Screening: Commentary","volume":"23","author":"Shaukat","year":"2025","journal-title":"Clin. Gastroenterol. Hepatol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2261","DOI":"10.1056\/NEJMoa2200075","article-title":"Circulating Tumor DNA Analysis Guiding Adjuvant Therapy in Stage II Colon Cancer","volume":"386","author":"Tie","year":"2022","journal-title":"N. Engl. J. Med."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1053\/j.gastro.2025.01.002","article-title":"AGA Living Clinical Practice Guideline on Computer-Aided Detection-Assisted Colonoscopy","volume":"168","author":"Sultan","year":"2025","journal-title":"Gastroenterology"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1652","DOI":"10.7326\/ANNALS-24-00981","article-title":"Artificial Intelligence-Assisted Colonoscopy for Polyp Detection: A Systematic Review and Meta-Analysis","volume":"177","author":"Soleymanjahi","year":"2024","journal-title":"Ann. Intern. Med."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"e203398","DOI":"10.1001\/jamanetworkopen.2020.3398","article-title":"Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides","volume":"3","author":"Wei","year":"2020","journal-title":"JAMA Netw. Open"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1016\/j.gie.2024.01.004","article-title":"Efficacy of Artificial Intelligence in Reducing Miss Rates of GI Adenomas, Polyps, and Sessile Serrated Lesions: A Meta-Analysis of Randomized Controlled Trials","volume":"99","author":"Jin","year":"2024","journal-title":"Gastrointest. Endosc."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1016\/j.ajpath.2025.09.016","article-title":"Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records","volume":"196","author":"Jiang","year":"2026","journal-title":"Am. J. Pathol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"116699","DOI":"10.1016\/j.ejca.2026.116699","article-title":"Integrating Liquid Biopsies and Artificial Intelligence for Early Cancer Detection: A Systematic Review and Meta-Analysis","volume":"239","author":"Filis","year":"2026","journal-title":"Eur. J. Cancer"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1056\/NEJM198809013190901","article-title":"Genetic Alterations during Colorectal-Tumor Development","volume":"319","author":"Vogelstein","year":"1988","journal-title":"N. Engl. J. Med."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1111\/his.12055","article-title":"The Serrated Pathway to Colorectal Carcinoma: Current Concepts and Challenges","volume":"62","author":"Bettington","year":"2013","journal-title":"Histopathology"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"852","DOI":"10.1053\/j.gastro.2019.06.039","article-title":"Long-Term Risk of Colorectal Cancer After Removal of Conventional Adenomas and Serrated Polyps","volume":"158","author":"He","year":"2020","journal-title":"Gastroenterology"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"e2459703","DOI":"10.1001\/jamanetworkopen.2024.59703","article-title":"Advanced Adenoma and Long-Term Risk of Colorectal Cancer, Cancer-Related Mortality, and Mortality","volume":"8","author":"Shaukat","year":"2025","journal-title":"JAMA Netw. Open"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2021","DOI":"10.1001\/jama.2018.5809","article-title":"Association of Colonoscopy Adenoma Findings With Long-Term Colorectal Cancer Incidence","volume":"319","author":"Click","year":"2018","journal-title":"JAMA"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1986","DOI":"10.1053\/j.gastro.2021.01.214","article-title":"Risk of Colorectal Cancer and Cancer Related Mortality After Detection of Low-Risk or High-Risk Adenomas, Compared With No Adenoma, at Index Colonoscopy: A Systematic Review and Meta-Analysis","volume":"160","author":"Duvvuri","year":"2021","journal-title":"Gastroenterology"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"De Palma, F.D.E., D\u2019Argenio, V., Pol, J., Kroemer, G., Maiuri, M.C., and Salvatore, F. (2019). The Molecular Hallmarks of the Serrated Pathway in Colorectal Cancer. Cancers, 11.","DOI":"10.3390\/cancers11071017"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1053\/j.gastro.2019.06.041","article-title":"Terminology, Molecular Features, Epidemiology, and Management of Serrated Colorectal Neoplasia","volume":"157","author":"Crockett","year":"2019","journal-title":"Gastroenterology"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1053\/j.gastro.2020.03.025","article-title":"Prevalence and Clinical Features of Sessile Serrated Polyps: A Systematic Review","volume":"159","author":"Meester","year":"2020","journal-title":"Gastroenterology"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"95","DOI":"10.14309\/ajg.0000000000000824","article-title":"Variation Over Time and Factors Associated With Detection Rates of Sessile Serrated Lesion Across the United States: Results Form a National Sample Using the GIQuIC Registry","volume":"116","author":"Shaukat","year":"2021","journal-title":"Am. J. Gastroenterol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1053\/j.gastro.2015.11.046","article-title":"Increased Risk of Colorectal Cancer Development Among Patients With Serrated Polyps","volume":"150","author":"Erichsen","year":"2016","journal-title":"Gastroenterology"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2040","DOI":"10.1007\/s10620-023-07848-x","article-title":"Risk Factors Related to Polyp Miss Rate of Short-Term Repeated Colonoscopy","volume":"68","author":"Jiang","year":"2023","journal-title":"Dig. Dis. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"3250","DOI":"10.3748\/wjg.v24.i29.3250","article-title":"Endoscopic Diagnosis of Sessile Serrated Adenoma\/Polyp with and without Dysplasia\/Carcinoma","volume":"24","author":"Murakami","year":"2018","journal-title":"World J. Gastroenterol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1754","DOI":"10.14309\/ajg.0000000000002972","article-title":"Quality Indicators for Colonoscopy","volume":"119","author":"Rex","year":"2024","journal-title":"Am. J. Gastroenterol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"984","DOI":"10.1056\/NEJMoa2310336","article-title":"Next-Generation Multitarget Stool DNA Test for Colorectal Cancer Screening","volume":"390","author":"Imperiale","year":"2024","journal-title":"N. Engl. J. Med."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"107654","DOI":"10.1016\/j.amepre.2025.107654","article-title":"Multi-Target Stool DNA and the Fecal Immunochemical Test: A Systematic Review and Meta-Analysis on Test Performances","volume":"69","author":"Ebner","year":"2025","journal-title":"Am. J. Prev. Med."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1760","DOI":"10.1001\/jama.2023.22231","article-title":"Multitarget Stool RNA Test for Colorectal Cancer Screening","volume":"330","author":"Barnell","year":"2023","journal-title":"JAMA"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1001\/jama.2025.7515","article-title":"Clinical Validation of a Circulating Tumor DNA-Based Blood Test to Screen for Colorectal Cancer","volume":"334","author":"Shaukat","year":"2025","journal-title":"JAMA"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"105289","DOI":"10.1016\/j.critrevonc.2026.105289","article-title":"Blood-Based Circulating Tumour DNA (ctDNA) Tests for Colorectal Cancer Screening: Systematic Review and Meta-Analysis of Diagnostic Accuracy","volume":"222","author":"Carbone","year":"2026","journal-title":"Crit. Rev. Oncol. Hematol."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Rose, J.H., Mattikalli, S., Bansal, A., Jadhav, R.R., Song, Y., Kunnackal John, G., and Gupta, E. (2026). Diagnostic Accuracy of Blood-Based cfDNA\/ctDNA Tests for Colorectal Cancer\u2014A Systematic Review and Meta-Analysis. Cancers, 18.","DOI":"10.3390\/cancers18111752"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1348","DOI":"10.1111\/his.70111","article-title":"Despite Simplified Diagnostic Criteria, Intraobserver and Interobserver Variability Remain in the Interpretation of Colorectal Serrated Polyps","volume":"88","author":"Booth","year":"2026","journal-title":"Histopathology"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1327","DOI":"10.1097\/MEG.0000000000000994","article-title":"Changing Pathological Diagnosis from Hyperplastic Polyp to Sessile Serrated Adenoma: Systematic Review and Meta-Analysis","volume":"29","author":"Niv","year":"2017","journal-title":"Eur. J. Gastroenterol. Hepatol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2135","DOI":"10.1001\/jama.2016.17418","article-title":"Screening for Colorectal Cancer and Evolving Issues for Physicians and Patients: A Review","volume":"316","author":"Lieberman","year":"2016","journal-title":"JAMA"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1007\/s10555-016-9629-x","article-title":"Origins, Structures, and Functions of Circulating DNA in Oncology","volume":"35","author":"Thierry","year":"2016","journal-title":"Cancer Metastasis Rev."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"114186","DOI":"10.1016\/j.ejca.2024.114186","article-title":"Exploring the Biology of ctDNA Release in Colorectal Cancer","volume":"207","author":"Andersen","year":"2024","journal-title":"Eur. J. Cancer"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1038\/s41568-025-00795-x","article-title":"Genomic and Fragmentomic Landscapes of Cell-Free DNA for Early Cancer Detection","volume":"25","author":"Bruhm","year":"2025","journal-title":"Nat. Rev. Cancer"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Kabel, J., Henriksen, T.V., Demuth, C., Frydendahl, A., Rasmussen, M.H., Nors, J., Birkbak, N.J., Madsen, A.H., L\u00f8ve, U.S., and Andersen, P.V. (2023). Impact of Whole Genome Doubling on Detection of Circulating Tumor DNA in Colorectal Cancer. Cancers, 15.","DOI":"10.3390\/cancers15041136"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1016\/j.jmoldx.2023.09.004","article-title":"Recommendations for Cell-Free DNA Assay Validations: A Joint Consensus Recommendation of the Association for Molecular Pathology and College of American Pathologists","volume":"25","author":"Lockwood","year":"2023","journal-title":"J. Mol. Diagn."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1373\/clinchem.2018.298323","article-title":"Guidelines for the Preanalytical Conditions for Analyzing Circulating Cell-Free DNA","volume":"65","author":"Meddeb","year":"2019","journal-title":"Clin. Chem."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"e2501243","DOI":"10.1200\/PO-25-01243","article-title":"Generic Protocols for the Analytical Validation of Next-Generation Sequencing-Based Circulating Tumor DNA Assays, Version 2.0","volume":"10","author":"Silvestro","year":"2026","journal-title":"JCO Precis. Oncol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1156","DOI":"10.1093\/clinchem\/hvaa164","article-title":"Generic Protocols for the Analytical Validation of Next-Generation Sequencing-Based ctDNA Assays: A Joint Consensus Recommendation of the BloodPAC\u2019s Analytical Variables Working Group","volume":"66","author":"Godsey","year":"2020","journal-title":"Clin. Chem."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"e078378","DOI":"10.1136\/bmj-2023-078378","article-title":"TRIPOD+AI Statement: Updated Guidance for Reporting Clinical Prediction Models That Use Regression or Machine Learning Methods","volume":"385","author":"Collins","year":"2024","journal-title":"BMJ"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"5035","DOI":"10.1038\/onc.2017.130","article-title":"Genome-Wide DNA Methylation Profiling Reveals Cancer-Associated Changes within Early Colonic Neoplasia","volume":"36","author":"Hanley","year":"2017","journal-title":"Oncogene"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1053\/j.gastro.2021.09.075","article-title":"AGA Clinical Practice Update on Approach to the Use of Noninvasive Colorectal Cancer Screening Options: Commentary","volume":"162","author":"Burke","year":"2022","journal-title":"Gastroenterology"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1136\/gutjnl-2012-304149","article-title":"Prospective Evaluation of Methylated SEPT9 in Plasma for Detection of Asymptomatic Colorectal Cancer","volume":"63","author":"Church","year":"2014","journal-title":"Gut"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"e000355","DOI":"10.1136\/bmjgast-2019-000355","article-title":"Utility of the Methylated SEPT9 Test for the Early Detection of Colorectal Cancer: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy","volume":"7","author":"Hariharan","year":"2020","journal-title":"BMJ Open Gastroenterol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"5619","DOI":"10.1002\/cam4.2475","article-title":"Multiplex Methylated DNA Testing in Plasma with High Sensitivity and Specificity for Colorectal Cancer Screening","volume":"8","author":"Zhao","year":"2019","journal-title":"Cancer Med."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/s00384-025-04904-y","article-title":"Diagnostic Value of Genetic and Epigenetic Biomarker Panels for Colorectal Cancer Detection: A Systematic Review","volume":"40","author":"Alampritis","year":"2025","journal-title":"Int. J. Colorectal Dis."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"eaax7533","DOI":"10.1126\/scitranslmed.aax7533","article-title":"Circulating Tumor DNA Methylation Profiles Enable Early Diagnosis, Prognosis Prediction, and Screening for Colorectal Cancer","volume":"12","author":"Luo","year":"2020","journal-title":"Sci. Transl. Med."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Junca, A., Tachon, G., Evrard, C., Villalva, C., Frouin, E., Karayan-Tapon, L., and Tougeron, D. (2020). Detection of Colorectal Cancer and Advanced Adenoma by Liquid Biopsy (Decalib Study): The ddPCR Challenge. Cancers, 12.","DOI":"10.3390\/cancers12061482"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"606","DOI":"10.31083\/ph.2021.1780","article-title":"Circulating Tumor DNA-Based Early Detection of Precancerous Colorectal Lesions Using QClamp XNA-Mediated Real-Time PCR","volume":"76","author":"Chen","year":"2021","journal-title":"Pharmazie"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Hong, S.W., Park, J., Lee, J., Ahn, J.M., Kim, D., Wang, M., Jung, B., Kwon, M.-J., Cho, E.H., and Kim, S.-M. (2025). A Novel Blood-Based Test for Colorectal Cancer Detection Using Cell-Free DNA Fragmentomics. Am. J. Gastroenterol.","DOI":"10.14309\/ajg.0000000000003856"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1136\/gutjnl-2024-333533","article-title":"Early Detection of Colorectal Cancer Using Aberrant Circulating Cell-Free Mitochondrial DNA Fragmentomics","volume":"74","author":"Wang","year":"2025","journal-title":"Gut"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1186\/s13045-021-01189-w","article-title":"Multi-Dimensional Fragmentomic Assay for Ultrasensitive Early Detection of Colorectal Advanced Adenoma and Adenocarcinoma","volume":"14","author":"Ma","year":"2021","journal-title":"J. Hematol. Oncol."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1186\/s12943-024-01959-3","article-title":"Integration of Multiomics Features for Blood-Based Early Detection of Colorectal Cancer","volume":"23","author":"Gao","year":"2024","journal-title":"Mol. Cancer"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1016\/j.annonc.2023.09.3113","article-title":"High Accuracy of a Blood ctDNA-Based Multimodal Test to Detect Colorectal Cancer","volume":"34","author":"Bessa","year":"2023","journal-title":"Ann. Oncol."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"3229","DOI":"10.1158\/1078-0432.CCR-25-0449","article-title":"Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence","volume":"31","author":"Karimzadeh","year":"2025","journal-title":"Clin. Cancer Res."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Ciarloni, L., Hosseinian, S., Monnier-Benoit, S., Imaizumi, N., Dorta, G., and Ruegg, C. (2015). Discovery of a 29-Gene Panel in Peripheral Blood Mononuclear Cells for the Detection of Colorectal Cancer and Adenomas Using High Throughput Real-Time PCR. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0123904"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"4604","DOI":"10.1158\/1078-0432.CCR-15-2057","article-title":"Development and Clinical Validation of a Blood Test Based on 29-Gene Expression for Early Detection of Colorectal Cancer","volume":"22","author":"Ciarloni","year":"2016","journal-title":"Clin. Cancer Res."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"3039","DOI":"10.1158\/1078-0432.CCR-12-3851","article-title":"Identification and Validation of a Blood-Based 18-Gene Expression Signature in Colorectal Cancer","volume":"19","author":"Xu","year":"2013","journal-title":"Clin. Cancer Res."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Kaya, I.H., Al-Harazi, O., and Colak, D. (2022). Transcriptomic Data Analysis Coupled with Copy Number Aberrations Reveals a Blood-Based 17-Gene Signature for Diagnosis and Prognosis of Patients with Colorectal Cancer. Front. Genet., 13.","DOI":"10.3389\/fgene.2022.1031086"},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Yin, Y., Yang, Z., Li, X., Gong, S., and Xu, C. (2026). Gene Expression-Based Colorectal Cancer Prediction Using Machine Learning and SHAP Analysis. Genes, 17.","DOI":"10.3390\/genes17010114"},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Maurya, N.S., Kushwaha, S., Vetukuri, R.R., and Mani, A. (2023). Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms. Genes, 14.","DOI":"10.3390\/genes14101836"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"24786","DOI":"10.1038\/s41598-024-75438-6","article-title":"Integrating Machine Learning and Bioinformatics Approaches for Identifying Novel Diagnostic Gene Biomarkers in Colorectal Cancer","volume":"14","year":"2024","journal-title":"Sci. Rep."},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Bostanci, E., Kocak, E., Unal, M., Guzel, M.S., Acici, K., and Asuroglu, T. (2023). Machine Learning Analysis of RNA-Seq Data for Diagnostic and Prognostic Prediction of Colon Cancer. Sensors, 23.","DOI":"10.3390\/s23063080"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"106170","DOI":"10.1016\/j.ijmedinf.2025.106170","article-title":"Machine Learning in Colorectal Cancer Prediction and Diagnosis: A Systematic Review of Models\u2019 Performance","volume":"206","author":"Abuzuhri","year":"2026","journal-title":"Int. J. Med. Inform."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"e00360","DOI":"10.14309\/ctg.0000000000000360","article-title":"Multitarget Stool RNA Test for Noninvasive Detection of Colorectal Neoplasias in a Multicenter, Prospective, and Retrospective Cohort","volume":"12","author":"Barnell","year":"2021","journal-title":"Clin. Transl. Gastroenterol."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"120465","DOI":"10.1016\/j.cca.2025.120465","article-title":"Integrating Fecal Immunochemical Testing and Methylated SEPT9 for Enhanced Colorectal Cancer Screening: A Multi-Center Case-Control Study","volume":"577","author":"Dohmen","year":"2025","journal-title":"Clin. Chim. Acta"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"6273","DOI":"10.1038\/s41598-026-37280-w","article-title":"Diagnostic Performance of Multimodal Biomarkers in Colorectal Cancer","volume":"16","author":"Yang","year":"2026","journal-title":"Sci. Rep."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"121000","DOI":"10.1016\/j.cca.2026.121000","article-title":"Methylated Septin9 as an Auxiliary Biomarker for the Diagnostic, Recurrence Monitoring and Prognosis of Colorectal Cancer","volume":"588","author":"Wang","year":"2026","journal-title":"Clin. Chim. Acta"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1093\/jnci\/djad227","article-title":"Revisiting the Standard Blueprint for Biomarker Development to Address Emerging Cancer Early Detection Technologies","volume":"116","author":"Etzioni","year":"2024","journal-title":"J. Natl. Cancer Inst."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"960","DOI":"10.1016\/j.molonc.2014.10.004","article-title":"Biomarker Validation and Testing","volume":"9","author":"Hayes","year":"2015","journal-title":"Mol. Oncol."},{"key":"ref_82","first-page":"e70083","article-title":"Colorectal Cancer Screening: An Update to the American Cancer Society Guideline, 2026","volume":"76","author":"Wolf","year":"2026","journal-title":"CA Cancer J. Clin."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"e70056","DOI":"10.1111\/den.70056","article-title":"Computer-Aided Diagnosis of Colorectal Polyps: Clinical Usefulness and Limitations","volume":"38","author":"Lin","year":"2026","journal-title":"Dig. Endosc."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"e70138","DOI":"10.1111\/den.70138","article-title":"Comparative Performance of Artificial Intelligence-Based Computer-Aided Detection Systems for Colorectal Polyps: A Systematic Review and Network Meta-Analysis","volume":"38","author":"Shinozaki","year":"2026","journal-title":"Dig. Endosc."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1097\/MEG.0000000000003179","article-title":"Performance of Artificial Intelligence Software: EndoAngel, EndoAID, CAD-EYE, GI Genius, and EndoScreener in Adenoma Detection: An Extended Network Meta-Analysis","volume":"38","author":"Rafi","year":"2026","journal-title":"Eur. J. Gastroenterol. Hepatol."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.gie.2020.02.033","article-title":"Accuracy of Artificial Intelligence on Histology Prediction and Detection of Colorectal Polyps: A Systematic Review and Meta-Analysis","volume":"92","author":"Lui","year":"2020","journal-title":"Gastrointest. Endosc."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1007\/s00384-025-04949-z","article-title":"Effectiveness of Artificial Intelligence-Assisted Colonoscopy in Detecting and Diagnosing Colorectal Tumors: A Systematic Review and Network Meta-Analysis","volume":"40","author":"Tan","year":"2025","journal-title":"Int. J. Colorectal Dis."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1055\/a-2882-7665","article-title":"Computer-Assisted and Unassisted Optical Diagnosis of Colorectal Polyps: Results from a Prospective Pragmatic Implementation Study","volume":"58","author":"Medawar","year":"2026","journal-title":"Endoscopy"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"911","DOI":"10.7326\/M24-0086","article-title":"Artificial Intelligence for Real-Time Prediction of the Histology of Colorectal Polyps by General Endoscopists","volume":"177","author":"Rex","year":"2024","journal-title":"Ann. Intern. Med."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1053\/j.gastro.2025.02.021","article-title":"Colon Cancer Screening, Surveillance, and Treatment: Novel Artificial Intelligence Driving Strategies in the Management of Colon Lesions","volume":"169","author":"Hassan","year":"2025","journal-title":"Gastroenterology"},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1016\/j.cgh.2024.08.021","article-title":"Accuracy of Computer-Aided Diagnosis in Colonoscopy Varies According to Polyp Location: A Systematic Review and Meta-Analysis","volume":"23","author":"Rizkala","year":"2025","journal-title":"Clin. Gastroenterol. Hepatol."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.14309\/ajg.0000000000003812","article-title":"Impact of Artificial Intelligence Use on Endoscopist Optical Diagnosis of Sessile Serrated Lesions, Traditional Serrated Adenomas, and Advanced Conventional Adenomas","volume":"121","author":"Oleksiw","year":"2026","journal-title":"Am. J. Gastroenterol."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.gie.2024.08.033","article-title":"Use of Artificial Intelligence Improves Colonoscopy Performance in Adenoma Detection: A Systematic Review and Meta-Analysis","volume":"101","author":"Makar","year":"2025","journal-title":"Gastrointest. Endosc."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1016\/S2468-1253(24)00161-4","article-title":"Polyp Detection with Colonoscopy Assisted by the GI Genius Artificial Intelligence Endoscopy Module Compared with Standard Colonoscopy in Routine Colonoscopy Practice (COLO-DETECT): A Multicentre, Open-Label, Parallel-Arm, Pragmatic Randomised Controlled Trial","volume":"9","author":"Seager","year":"2024","journal-title":"Lancet Gastroenterol. Hepatol."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.gie.2020.06.059","article-title":"Performance of Artificial Intelligence in Colonoscopy for Adenoma and Polyp Detection: A Systematic Review and Meta-Analysis","volume":"93","author":"Hassan","year":"2021","journal-title":"Gastrointest. Endosc."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.dld.2024.09.003","article-title":"Effectiveness of Artificial Intelligence Assisted Colonoscopy on Adenoma and Polyp Miss Rate: A Meta-Analysis of Tandem RCTs","volume":"57","author":"Maida","year":"2025","journal-title":"Dig. Liver Dis."},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Putera, M., Koh, F.H.X., and Li, J.W. (2026). Controversies in Computer-Assisted Detection in Colonoscopy. Digestion, 1\u201314.","DOI":"10.1159\/000550268"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"974","DOI":"10.14309\/ajg.0000000000003953","article-title":"Outcomes of Artificial Intelligence-Enhanced Colonoscopy in a Tertiary Clinical Setting","volume":"121","author":"Nayar","year":"2026","journal-title":"Am. J. Gastroenterol."},{"key":"ref_99","doi-asserted-by":"crossref","unstructured":"Dominitz, J.A., Gawron, A.J., McKee, G.B., Hoggatt, K.J., and Kaltenbach, T. (Gastroenterology, 2026). Impact of Availability of Computer-Aided Detection Devices on Adenoma Detection During Colonoscopy: A Cluster Randomized Study, Gastroenterology, in press.","DOI":"10.1053\/j.gastro.2026.05.018"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"896","DOI":"10.1016\/S2468-1253(25)00133-5","article-title":"Endoscopist Deskilling Risk after Exposure to Artificial Intelligence in Colonoscopy: A Multicentre, Observational Study","volume":"10","author":"Kitala","year":"2025","journal-title":"Lancet Gastroenterol. Hepatol."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1055\/a-2858-7084","article-title":"Learning and Deskilling Effects of Artificial Intelligence in Colonoscopy among Endoscopists with Different Levels of Experience: A Pragmatic, Prospective Trial","volume":"58","author":"Pedersen","year":"2026","journal-title":"Endoscopy"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"e2135271","DOI":"10.1001\/jamanetworkopen.2021.35271","article-title":"Evaluation of an Artificial Intelligence-Augmented Digital System for Histologic Classification of Colorectal Polyps","volume":"4","author":"Suriawinata","year":"2021","journal-title":"JAMA Netw. Open"},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1093\/ajcp\/aqad058","article-title":"Development and Validation of a Deep Learning-Based Histologic Diagnosis System for Diagnosing Colorectal Sessile Serrated Lesions","volume":"160","author":"Wu","year":"2023","journal-title":"Am. J. Clin. Pathol."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"104178","DOI":"10.1016\/j.labinv.2025.104178","article-title":"Computer-Based Detection of Colorectal Serrated Lesions: Digital Flatness, a Novel Metric Designed for Whole-Slide Images","volume":"105","author":"Mottola","year":"2025","journal-title":"Lab. Investig."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.ajpath.2022.12.003","article-title":"Detection of Colorectal Adenocarcinoma and Grading Dysplasia on Histopathologic Slides Using Deep Learning","volume":"193","author":"Kim","year":"2023","journal-title":"Am. J. Pathol."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"100327","DOI":"10.1016\/j.modpat.2023.100327","article-title":"Artificial Intelligence-Based Tool for Tumor Detection and Quantitative Tissue Analysis in Colorectal Specimens","volume":"36","author":"Griem","year":"2023","journal-title":"Mod. Pathol."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"103826","DOI":"10.1016\/j.eclinm.2026.103826","article-title":"Reliable Classification of Polyps Based on Artificial Intelligence: A Development and Validation Study","volume":"93","author":"Henriksen","year":"2026","journal-title":"EClinicalMedicine"},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1111\/his.15331","article-title":"A Deep Learning Approach to Case Prioritisation of Colorectal Biopsies","volume":"86","author":"White","year":"2025","journal-title":"Histopathology"},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"2222","DOI":"10.1038\/s41598-022-06264-x","article-title":"A Promising Deep Learning-Assistive Algorithm for Histopathological Screening of Colorectal Cancer","volume":"12","author":"Ho","year":"2022","journal-title":"Sci. Rep."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"924","DOI":"10.1038\/s41591-022-01772-9","article-title":"Reporting Guideline for the Early-Stage Clinical Evaluation of Decision Support Systems Driven by Artificial Intelligence: DECIDE-AI","volume":"28","author":"Vasey","year":"2022","journal-title":"Nat. Med."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1038\/s41698-024-00539-4","article-title":"An Interpretable Machine Learning System for Colorectal Cancer Diagnosis from Pathology Slides","volume":"8","author":"Neto","year":"2024","journal-title":"npj Precis. Oncol."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"2195","DOI":"10.1007\/s10620-025-09615-6","article-title":"Identifying Patients at High Risk for Colorectal Carcinoma Using the Electronic Health Record","volume":"71","author":"Ahuja","year":"2025","journal-title":"Dig. Dis. Sci."},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"2611","DOI":"10.1007\/s10620-024-08427-4","article-title":"Development and Validation of a Colorectal Cancer Prediction Model: A Nationwide Cohort-Based Study","volume":"69","author":"Isakov","year":"2024","journal-title":"Dig. Dis. Sci."},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"2734","DOI":"10.1016\/j.cgh.2020.04.054","article-title":"Validation of an Algorithm to Identify Patients at Risk for Colorectal Cancer Based on Laboratory Test and Demographic Data in Diverse, Community-Based Population","volume":"18","author":"Schneider","year":"2020","journal-title":"Clin. Gastroenterol. Hepatol."},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1007\/s00384-025-05030-5","article-title":"AI-Driven Pre-Screening for Colorectal Cancer Using Complete Blood Counts: Toward Broader Population Impact","volume":"40","author":"Los","year":"2025","journal-title":"Int. J. Colorectal Dis."},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1136\/gutjnl-2020-321698","article-title":"Derivation and Validation of a Predictive Model for Advanced Colorectal Neoplasia in Asymptomatic Adults","volume":"70","author":"Imperiale","year":"2021","journal-title":"Gut"},{"key":"ref_117","doi-asserted-by":"crossref","unstructured":"Nartowt, B.J., Hart, G.R., Roffman, D.A., Llor, X., Ali, I., Muhammad, W., Liang, Y., and Deng, J. (2019). Scoring Colorectal Cancer Risk with an Artificial Neural Network Based on Self-Reportable Personal Health Data. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0221421"},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1055\/a-2751-2956","article-title":"Development of the PROMOTE Model to Stratify Colorectal Cancer Risk for Prioritization of Colonoscopy Resource Use: A Multicenter Prospective Study","volume":"58","author":"Frazzoni","year":"2026","journal-title":"Endoscopy"},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1097\/MCG.0000000000002172","article-title":"Machine Learning for Predicting Colorectal Cancer and Advanced Colorectal Polyps: A Systematic Review and Meta-Analysis","volume":"60","author":"Malik","year":"2026","journal-title":"J. Clin. Gastroenterol."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"1280","DOI":"10.1053\/j.gastro.2023.06.033","article-title":"AGA Clinical Practice Update on Risk Stratification for Colorectal Cancer Screening and Post-Polypectomy Surveillance: Expert Review","volume":"165","author":"Issaka","year":"2023","journal-title":"Gastroenterology"},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"1965","DOI":"10.1001\/jama.2021.6238","article-title":"Screening for Colorectal Cancer: US Preventive Services Task Force Recommendation Statement","volume":"325","author":"Davidson","year":"2021","journal-title":"JAMA"},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"2152","DOI":"10.1053\/j.gastro.2018.02.021","article-title":"Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors","volume":"154","author":"Jeon","year":"2018","journal-title":"Gastroenterology"},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"e2339670","DOI":"10.1001\/jamanetworkopen.2023.39670","article-title":"Personalized Initial Screening Age for Colorectal Cancer in Individuals at Average Risk","volume":"6","author":"Chen","year":"2023","journal-title":"JAMA Netw. Open"},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1001\/jamaoncol.2024.0961","article-title":"Precision Colorectal Cancer Fecal Immunological Test Screening With Fecal-Hemoglobin-Concentration-Guided Interscreening Intervals","volume":"10","author":"Yen","year":"2024","journal-title":"JAMA Oncol."},{"key":"ref_125","doi-asserted-by":"crossref","unstructured":"Breekveldt, E.C.H., Toes-Zoutendijk, E., de Jonge, L., Spaander, M.C.W., Dekker, E., van Kemenade, F.J., van Vuuren, A.J., Ramakers, C.R.B., Nagtegaal, I.D., and van Leerdam, M.E. (2023). Personalized Colorectal Cancer Screening: Study Protocol of a Mixed-Methods Study on the Effectiveness of Tailored Intervals Based on Prior f-Hb Concentration in a Fit-Based Colorectal Cancer Screening Program (PERFECT-FIT). BMC Gastroenterol., 23.","DOI":"10.1186\/s12876-023-02670-1"},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"e70728","DOI":"10.1002\/cam4.70728","article-title":"Transparency and Representation in Clinical Research Utilizing Artificial Intelligence in Oncology: A Scoping Review","volume":"14","author":"Cheunkarndee","year":"2025","journal-title":"Cancer Med."},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"3283","DOI":"10.1038\/s41591-025-03953-8","article-title":"The STARD-AI Reporting Guideline for Diagnostic Accuracy Studies Using Artificial Intelligence","volume":"31","author":"Sounderajah","year":"2025","journal-title":"Nat. Med."},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"e537","DOI":"10.1016\/S2589-7500(20)30218-1","article-title":"Reporting Guidelines for Clinical Trial Reports for Interventions Involving Artificial Intelligence: The CONSORT-AI Extension","volume":"2","author":"Liu","year":"2020","journal-title":"Lancet Digit. Health"},{"key":"ref_129","doi-asserted-by":"crossref","first-page":"270","DOI":"10.7326\/ANNALS-25-03415","article-title":"The Legal and Ethical Framework for Artificial Intelligence in Gastrointestinal Endoscopy: A World Endoscopy Organization International Consensus Statement","volume":"179","author":"Ahmad","year":"2026","journal-title":"Ann. Intern. Med."},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.gie.2023.12.003","article-title":"Consensus Statements on the Current Landscape of Artificial Intelligence Applications in Endoscopy, Addressing Roadblocks, and Advancing Artificial Intelligence in Gastroenterology","volume":"101","author":"Parasa","year":"2025","journal-title":"Gastrointest. Endosc."},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"1610","DOI":"10.7326\/ANNALS-24-00910","article-title":"Projected Impact and Cost-Effectiveness of Novel Molecular Blood-Based or Stool-Based Screening Tests for Colorectal Cancer","volume":"177","author":"Ladabaum","year":"2024","journal-title":"Ann. Intern. 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