{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T01:35:28Z","timestamp":1792805728727,"version":"4.5.0"},"reference-count":77,"publisher":"Elsevier BV","issue":"9","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ejso.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Surgical Oncology"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1016\/j.ejso.2025.110188","type":"journal-article","created":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T02:48:02Z","timestamp":1747882082000},"page":"110188","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":11,"title":["Artificial intelligence in advancing optical coherence tomography for disease detection and cancer diagnosis: A scoping review"],"prefix":"10.1016","volume":"51","author":[{"given":"Moslem","family":"Alikarami","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tola Abdulsattar","family":"Faraj","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2044-6192","authenticated-orcid":false,"given":"Nabaz Hamarashid","family":"Hama","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amineh Sadat","family":"Hosseini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paria","family":"Habibi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iman","family":"Samiei Mosleh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mehran","family":"Alavi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0326-6894","authenticated-orcid":false,"given":"Mostafa","family":"Kashani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5103-5989","authenticated-orcid":false,"given":"Sargol","family":"Aminnezhad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ejso.2025.110188_bib1","doi-asserted-by":"crossref","first-page":"65","DOI":"10.3390\/bioengineering12010065","article-title":"A survey on optical coherence tomography\u2014technology and application","volume":"12","author":"Mokhtari","year":"2025","journal-title":"Bioengineering"},{"key":"10.1016\/j.ejso.2025.110188_bib2","doi-asserted-by":"crossref","DOI":"10.1016\/j.preteyeres.2024.101292","article-title":"Optical coherence tomography angiography of the retina and choroid in systemic diseases","author":"Chua","year":"2024","journal-title":"Prog Retin Eye Res"},{"key":"10.1016\/j.ejso.2025.110188_bib3","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1038\/s41569-022-00687-9","article-title":"Optical coherence tomography in coronary atherosclerosis assessment and intervention","volume":"19","author":"Araki","year":"2022","journal-title":"Nat Rev Cardiol"},{"key":"10.1016\/j.ejso.2025.110188_bib4","doi-asserted-by":"crossref","DOI":"10.1002\/jbio.202100376","article-title":"Current research and future prospects of IVOCT imaging\u2010based detection of the vascular lumen and vulnerable plaque","volume":"15","author":"Zhang","year":"2022","journal-title":"J Biophot"},{"key":"10.1016\/j.ejso.2025.110188_bib5","article-title":"Research progress on the application of optical coherence tomography in the field of oncology","volume":"12","author":"Yang","year":"2022","journal-title":"Front Oncol"},{"key":"10.1016\/j.ejso.2025.110188_bib6","series-title":"Telemedicine and technological advances in dermatology","first-page":"235","article-title":"Optical coherence tomography in dermatology","author":"Gust","year":"2024"},{"key":"10.1016\/j.ejso.2025.110188_bib7","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1038\/s43586-022-00162-2","article-title":"Optical coherence tomography","volume":"2","author":"Bouma","year":"2022","journal-title":"Nat Rev Method Prim"},{"key":"10.1016\/j.ejso.2025.110188_bib8","article-title":"The role of AI-enhanced optical coherence tomography (OCT) in the early detection and treatment of GI cancers","author":"Muhammad","year":"2025","journal-title":"J Clin Med Res: AJCMR-190"},{"key":"10.1016\/j.ejso.2025.110188_bib9","series-title":"Biophotonics and biosensing","first-page":"417","article-title":"AI-driven innovations in signal\/image processing and data analysis for optical coherence tomography in clinical applications","author":"Sampson","year":"2024"},{"key":"10.1016\/j.ejso.2025.110188_bib10","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/s10462-024-11067-9","article-title":"Artificial intelligence in choroid through optical coherence tomography: a comprehensive review","volume":"58","author":"Selvam","year":"2025","journal-title":"Artif Intell Rev"},{"key":"10.1016\/j.ejso.2025.110188_bib11","doi-asserted-by":"crossref","first-page":"1343","DOI":"10.3171\/2024.1.JNS231511","article-title":"Microscope-integrated optical coherence tomography for in vivo human brain tumor detection with artificial intelligence","volume":"141","author":"Kuppler","year":"2024","journal-title":"J Neurosurg"},{"key":"10.1016\/j.ejso.2025.110188_bib12","doi-asserted-by":"crossref","first-page":"5822","DOI":"10.3390\/jcm13195822","article-title":"Enhancing oral cancer detection: a systematic review of the diagnostic accuracy and future integration of optical coherence tomography with artificial intelligence","volume":"13","author":"Jerjes","year":"2024","journal-title":"J Clin Med"},{"key":"10.1016\/j.ejso.2025.110188_bib13","doi-asserted-by":"crossref","first-page":"1748","DOI":"10.1016\/j.scib.2024.03.061","article-title":"Potential rapid intraoperative cancer diagnosis using dynamic full-field optical coherence tomography and deep learning: a prospective cohort study in breast cancer patients","volume":"69","author":"Zhang","year":"2024","journal-title":"Science Bulletin"},{"key":"10.1016\/j.ejso.2025.110188_bib14","series-title":"Everyday OCT: a handbook for clinicians and technicians","author":"Schuman","year":"2024"},{"key":"10.1016\/j.ejso.2025.110188_bib15","series-title":"Biophotonics and biosensing","first-page":"285","article-title":"Optical coherence tomography technology in clinical applications","author":"Tang","year":"2024"},{"key":"10.1016\/j.ejso.2025.110188_bib16","doi-asserted-by":"crossref","DOI":"10.1002\/tbio.202000012","article-title":"Optical coherence tomography: from technology to applications in ophthalmology","volume":"3","author":"Everett","year":"2021","journal-title":"Translation Biophoton"},{"key":"10.1016\/j.ejso.2025.110188_bib17","doi-asserted-by":"crossref","first-page":"232","DOI":"10.3390\/diagnostics13020232","article-title":"OCT and OCT angiography update: clinical application to age-related macular degeneration, central serous chorioretinopathy, macular telangiectasia, and diabetic retinopathy","volume":"13","author":"Zhang","year":"2023","journal-title":"Diagnostics"},{"key":"10.1016\/j.ejso.2025.110188_bib18","doi-asserted-by":"crossref","first-page":"104","DOI":"10.26599\/1671-5411.2024.01.001","article-title":"Role of intravascular ultrasound and optical coherence tomography in intracoronary imaging for coronary artery disease: a systematic review","volume":"21","author":"Sarwar","year":"2024","journal-title":"J Geriatric Cardiol: JGC"},{"key":"10.1016\/j.ejso.2025.110188_bib19","doi-asserted-by":"crossref","DOI":"10.4244\/EIJ-D-21-00089","article-title":"Intracoronary optical coherence tomography: state of the art and future directions: state of the art in OCT","volume":"17","author":"Ali","year":"2021","journal-title":"EuroIntervention"},{"key":"10.1016\/j.ejso.2025.110188_bib20","doi-asserted-by":"crossref","first-page":"310","DOI":"10.12688\/f1000research.52031.1","article-title":"Optical coherence tomography's current clinical medical and dental applications: a review","volume":"10","author":"Ali","year":"2021","journal-title":"F1000Research"},{"key":"10.1016\/j.ejso.2025.110188_bib21","doi-asserted-by":"crossref","DOI":"10.1155\/2023\/4179210","article-title":"Use of optical coherence tomography in dentistry","volume":"2023","author":"Janjua","year":"2023","journal-title":"Int J Dentist"},{"key":"10.1016\/j.ejso.2025.110188_bib22","doi-asserted-by":"crossref","first-page":"511","DOI":"10.14219\/jada.archive.2000.0210","article-title":"Optical coherence tomography: a new imaging: technology for dentistry","volume":"131","author":"Otis","year":"2000","journal-title":"The Journal of the American Dental Association"},{"key":"10.1016\/j.ejso.2025.110188_bib23","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1038\/nrc3235","article-title":"Cancer imaging by optical coherence tomography: preclinical progress and clinical potential","volume":"12","author":"Vakoc","year":"2012","journal-title":"Nat Rev Cancer"},{"key":"10.1016\/j.ejso.2025.110188_bib24","first-page":"27","article-title":"Self-assembled nanostructures for anticancer applications: advances and limitations","volume":"1","author":"Alavi","year":"2022","journal-title":"Nano Micro Biosystems"},{"key":"10.1016\/j.ejso.2025.110188_bib25","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1007\/s00784-023-05473-6","article-title":"Optical clearing agents based on metallic and dielectric nanoparticles for caries diagnostic by optical coherence tomography","volume":"28","author":"Carneiro","year":"2024","journal-title":"Clin Oral Invest"},{"key":"10.1016\/j.ejso.2025.110188_bib26","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1007\/s12274-017-1674-4","article-title":"Gold nanoshells: contrast agents for cell imaging by cardiovascular optical coherence tomography","volume":"11","author":"Hu","year":"2018","journal-title":"Nano Res"},{"key":"10.1016\/j.ejso.2025.110188_bib27","doi-asserted-by":"crossref","DOI":"10.1117\/1.3130323","article-title":"Enhanced detection of early-stage oral cancer in vivo by optical coherence tomography using multimodal delivery of gold nanoparticles","volume":"14","author":"Kim","year":"2009","journal-title":"J Biomed Opt"},{"key":"10.1016\/j.ejso.2025.110188_bib28","series-title":"Tissue optics and photonics III","first-page":"215","article-title":"Unveiling skin cancer insights by Fourier domain optical coherence tomography modeling","author":"Khalid","year":"2024"},{"key":"10.1016\/j.ejso.2025.110188_bib29","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-021-95118-z","article-title":"Manually scanned single fiber optical coherence tomography for skin cancer characterization","volume":"11","author":"Chuchvara","year":"2021","journal-title":"Sci Rep"},{"key":"10.1016\/j.ejso.2025.110188_bib30","first-page":"150","article-title":"Current practice and emerging endoscopic technology in the diagnosis of colorectal cancer: a narrative review of enhanced imaging and optical biopsy","volume":"2","author":"Turshudzhyan","year":"2024","journal-title":"J Translation Gastroenterol"},{"key":"10.1016\/j.ejso.2025.110188_bib31","article-title":"Using endoscopic optical coherence tomography to detect and treat early-stage pancreatic cancers","volume":"11","author":"Lu","year":"2021","journal-title":"Front Oncol"},{"key":"10.1016\/j.ejso.2025.110188_bib32","doi-asserted-by":"crossref","first-page":"1331","DOI":"10.3390\/s18051331","article-title":"Feasibility of optical coherence tomography (OCT) for intra-operative detection of blood flow during gastric tube reconstruction","volume":"18","author":"Jansen","year":"2018","journal-title":"Sensors"},{"key":"10.1016\/j.ejso.2025.110188_bib33","doi-asserted-by":"crossref","first-page":"371","DOI":"10.21037\/qims-20-13","article-title":"Optical coherence tomography for the early detection of colorectal dysplasia and cancer: validation in a murine model","volume":"11","author":"Ding","year":"2021","journal-title":"Quant Imag Med Surg"},{"key":"10.1016\/j.ejso.2025.110188_bib34","series-title":"Photonics","first-page":"51","article-title":"Extracting morphological and sub-resolution features from optical coherence tomography images, a review with applications in cancer diagnosis","author":"Photiou","year":"2023"},{"key":"10.1016\/j.ejso.2025.110188_bib35","first-page":"1891","article-title":"Optical coherence tomography of tumor spheroids identifies candidates for drug repurposing in ovarian cancer","volume":"70","author":"Yan","year":"2022","journal-title":"IEEE (Inst Electr Electron Eng) Trans Biomed Eng"},{"key":"10.1016\/j.ejso.2025.110188_bib36","doi-asserted-by":"crossref","first-page":"1342","DOI":"10.1038\/s41591-018-0107-6","article-title":"Clinically applicable deep learning for diagnosis and referral in retinal disease","volume":"24","author":"De","year":"2018","journal-title":"Nat Med"},{"key":"10.1016\/j.ejso.2025.110188_bib37","article-title":"The application of artificial intelligence in glaucoma diagnosis and prediction","volume":"11","author":"Zhang","year":"2023","journal-title":"Front Cell Dev Biol"},{"key":"10.1016\/j.ejso.2025.110188_bib38","doi-asserted-by":"crossref","first-page":"1703","DOI":"10.1007\/s11357-023-00920-4","article-title":"Deep neural network-estimated age using optical coherence tomography predicts mortality","volume":"46","author":"Chen","year":"2024","journal-title":"Geroscience"},{"key":"10.1016\/j.ejso.2025.110188_bib39","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.ejmp.2022.06.003","article-title":"Current challenges of implementing artificial intelligence in medical imaging","volume":"100","author":"Saw","year":"2022","journal-title":"Phys Med"},{"key":"10.1016\/j.ejso.2025.110188_bib40","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1097\/APO.0000000000000596","article-title":"Applications of artificial intelligence and deep learning in glaucoma","volume":"12","author":"Chen","year":"2023","journal-title":"Asia-Pacific J Ophthalmol"},{"key":"10.1016\/j.ejso.2025.110188_bib41","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.ajo.2023.09.014","article-title":"Deep learning estimation of 10-2 visual field map based on macular optical coherence tomography angiography measurements","volume":"257","author":"Mahmoudinezhad","year":"2024","journal-title":"Am J Ophthalmol"},{"key":"10.1016\/j.ejso.2025.110188_bib42","doi-asserted-by":"crossref","first-page":"1687","DOI":"10.1109\/TMI.2021.3064464","article-title":"Modeling and synthesis of breast cancer optical property signatures with generative models","volume":"40","author":"Pardo","year":"2021","journal-title":"IEEE Trans Med Imag"},{"key":"10.1016\/j.ejso.2025.110188_bib43","series-title":"Development of artificial intelligence methods for optical coherence tomography based medical diagnostic applications","author":"Baruah","year":"2020"},{"key":"10.1016\/j.ejso.2025.110188_bib44","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1126\/science.aax2342","article-title":"Dissecting racial bias in an algorithm used to manage the health of populations","volume":"366","author":"Obermeyer","year":"2019","journal-title":"Science"},{"key":"10.1016\/j.ejso.2025.110188_bib45","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1186\/s40942-024-00549-1","article-title":"AI-based support for optical coherence tomography in age-related macular degeneration","volume":"10","author":"Mares","year":"2024","journal-title":"Int J Retina Vitreous"},{"key":"10.1016\/j.ejso.2025.110188_bib46","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-022-18646-2","article-title":"A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation","volume":"12","author":"Kugelman","year":"2022","journal-title":"Sci Rep"},{"key":"10.1016\/j.ejso.2025.110188_bib47","doi-asserted-by":"crossref","DOI":"10.1016\/j.preteyeres.2021.100965","article-title":"Artificial intelligence in OCT angiography","volume":"85","author":"Hormel","year":"2021","journal-title":"Prog Retin Eye Res"},{"key":"10.1016\/j.ejso.2025.110188_bib48","series-title":"Image classification of OCT scans using machine learning","author":"Teixeira","year":"2023"},{"key":"10.1016\/j.ejso.2025.110188_bib49","doi-asserted-by":"crossref","DOI":"10.3389\/fmed.2022.1008950","article-title":"Deep learning to infer visual acuity from optical coherence tomography in diabetic macular edema","volume":"9","author":"Lin","year":"2022","journal-title":"Front Med"},{"key":"10.1016\/j.ejso.2025.110188_bib50","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40942-016-0054-7","article-title":"The potential of spectral domain optical coherence tomography imaging based retinal biomarkers","volume":"3","author":"Phadikar","year":"2017","journal-title":"Int J retina Vitreous"},{"key":"10.1016\/j.ejso.2025.110188_bib51","doi-asserted-by":"crossref","first-page":"1630","DOI":"10.3390\/pharmaceutics15061630","article-title":"Biomarkers as biomedical bioindicators: approaches and techniques for the detection, analysis, and validation of novel biomarkers of diseases","volume":"15","author":"Ahmad","year":"2023","journal-title":"Pharmaceutics"},{"key":"10.1016\/j.ejso.2025.110188_bib52","unstructured":"Haddad Z, et al. Artificial intelligence cad systems for the detection and classification of retinal diseases from oct images: a review. Available at SSRN 5122559."},{"key":"10.1016\/j.ejso.2025.110188_bib53","first-page":"4","article-title":"Evaluation of an OCT-AI\u2013based telemedicine platform for retinal disease screening and referral in a primary care setting","volume":"11","author":"Liu","year":"2022","journal-title":"Transl Vis Sci Technol"},{"key":"10.1016\/j.ejso.2025.110188_bib54","doi-asserted-by":"crossref","DOI":"10.1016\/j.xops.2022.100245","article-title":"Deep-learning\u2013aided diagnosis of diabetic retinopathy, age-related macular degeneration, and glaucoma based on structural and angiographic OCT","volume":"3","author":"Zang","year":"2023","journal-title":"Ophthalmol Sci"},{"key":"10.1016\/j.ejso.2025.110188_bib55","first-page":"5111","article-title":"A review of the prevalence of diabetic retinopathy, age-related macular degeneration and glaucoma and to evaluate if Optical Coherence Tomography and artificial intelligence (AI) can be used to detect and diagnose these diseases in early stages","volume":"65","author":"Hodges","year":"2024","journal-title":"Investig Ophthalmol Vis Sci"},{"key":"10.1016\/j.ejso.2025.110188_bib56","doi-asserted-by":"crossref","first-page":"2678","DOI":"10.3390\/s24092678","article-title":"Optimizing image enhancement: feature engineering for improved classification in AI-assisted artificial retinas","volume":"24","author":"Mehmood","year":"2024","journal-title":"Sensors"},{"key":"10.1016\/j.ejso.2025.110188_bib57","doi-asserted-by":"crossref","DOI":"10.3389\/fninf.2022.876927","article-title":"FN-OCT: disease detection algorithm for retinal optical coherence tomography based on a fusion network","volume":"16","author":"Ai","year":"2022","journal-title":"Front Neuroinf"},{"key":"10.1016\/j.ejso.2025.110188_bib58","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1055\/s-2006-954574","article-title":"Optical coherence tomography for experimental neuroendoscopy","volume":"49","author":"B\u00f6hringer","year":"2006","journal-title":"min-Minimall Invasive Neurosurg"},{"key":"10.1016\/j.ejso.2025.110188_bib59","doi-asserted-by":"crossref","DOI":"10.1126\/scitranslmed.3010611","article-title":"Detection of human brain cancer infiltration ex vivo and in vivo using quantitative optical coherence tomography","volume":"7","author":"Kut","year":"2015","journal-title":"Sci Transl Med"},{"key":"10.1016\/j.ejso.2025.110188_bib60","doi-asserted-by":"crossref","first-page":"5451","DOI":"10.1364\/BOE.501893","article-title":"Harnessing the power of optical microscopy for visualization and analysis of histopathological images","volume":"14","author":"Wang","year":"2023","journal-title":"Biomed Opt Express"},{"key":"10.1016\/j.ejso.2025.110188_bib61","series-title":"Optical coherence tomography","article-title":"Real-time colorectal cancer diagnosis using PR-OCT with deep learning","author":"Zeng","year":"2020"},{"key":"10.1016\/j.ejso.2025.110188_bib62","doi-asserted-by":"crossref","DOI":"10.1002\/jbio.202100349","article-title":"Human colorectal cancer tissue assessment using optical coherence tomography catheter and deep learning","volume":"15","author":"Luo","year":"2022","journal-title":"J Biophot"},{"key":"10.1016\/j.ejso.2025.110188_bib63","doi-asserted-by":"crossref","first-page":"3575","DOI":"10.1007\/s00432-022-04263-z","article-title":"Optical coherence tomography and convolutional neural networks can differentiate colorectal liver metastases from liver parenchyma ex vivo","volume":"149","author":"Amygdalos","year":"2023","journal-title":"J Cancer Res Clin Oncol"},{"key":"10.1016\/j.ejso.2025.110188_bib64","doi-asserted-by":"crossref","first-page":"3216","DOI":"10.1364\/BOE.519964","article-title":"Neural-network based high-speed volumetric dynamic optical coherence tomography","volume":"15","author":"Liu","year":"2024","journal-title":"Biomed Opt Express"},{"key":"10.1016\/j.ejso.2025.110188_bib65","first-page":"46","article-title":"Artificial intelligence-integrated optical coherence tomography for screening and early detection of oral cancer","volume":"72","author":"Nagi","year":"2024","journal-title":"Gen Dent"},{"key":"10.1016\/j.ejso.2025.110188_bib66","doi-asserted-by":"crossref","DOI":"10.1117\/1.JMI.10.3.034504","article-title":"Automatic diagnosis and classification of breast surgical samples with dynamic full-field OCT and machine learning","volume":"10","author":"Scholler","year":"2023","journal-title":"J Med Imaging"},{"key":"10.1016\/j.ejso.2025.110188_bib67","doi-asserted-by":"crossref","DOI":"10.1155\/2022\/1614838","article-title":"Oral cancer screening by artificial intelligence\u2010oriented interpretation of optical coherence tomography images","author":"Ramezani","year":"2022","journal-title":"Radiol Res Pract"},{"key":"10.1016\/j.ejso.2025.110188_bib68","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2024.106007","article-title":"Explainable AI based efficient ensemble model for breast cancer classification using optical coherence tomography","volume":"91","author":"Dhiman","year":"2024","journal-title":"Biomed Signal Process Control"},{"key":"10.1016\/j.ejso.2025.110188_bib69","doi-asserted-by":"crossref","first-page":"2276","DOI":"10.3390\/diagnostics13132276","article-title":"Core needle biopsy guidance based on tissue morphology assessment with AI-OCT imaging","volume":"13","author":"Maguluri","year":"2023","journal-title":"Diagnostics"},{"key":"10.1016\/j.ejso.2025.110188_bib70","doi-asserted-by":"crossref","first-page":"802","DOI":"10.3390\/biomedicines11030802","article-title":"Deep-learning-based automated identification and visualization of oral cancer in optical coherence tomography images","volume":"11","author":"Yang","year":"2023","journal-title":"Biomedicines"},{"key":"10.1016\/j.ejso.2025.110188_bib71","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1186\/s12903-024-04849-8","article-title":"Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography","volume":"24","author":"Yuan","year":"2024","journal-title":"BMC Oral Health"},{"key":"10.1016\/j.ejso.2025.110188_bib72","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1038\/s42003-024-05973-5","article-title":"Dynamic contrast optical coherence tomography (DyC-OCT) for label-free live cell imaging","volume":"7","author":"Ren","year":"2024","journal-title":"Commun Biol"},{"key":"10.1016\/j.ejso.2025.110188_bib73","article-title":"DiffusionDCI: a novel diffusion-based unified framework for dynamic full-field OCT image Generation and segmentation","author":"Yang","year":"2024","journal-title":"IEEE Access"},{"key":"10.1016\/j.ejso.2025.110188_bib74","doi-asserted-by":"crossref","first-page":"677","DOI":"10.3390\/diagnostics13040677","article-title":"Towards OCT-guided endoscopic laser surgery\u2014a review","volume":"13","author":"Gunalan","year":"2023","journal-title":"Diagnostics"},{"key":"10.1016\/j.ejso.2025.110188_bib75","first-page":"1","article-title":"Cutting edge microscopic intraoperative tissue assessment for guidance in oncologic surgery: a systematic review of the role of optical coherence tomography","author":"Pavone","year":"2024","journal-title":"Ann Surg Oncol"},{"key":"10.1016\/j.ejso.2025.110188_bib76","article-title":"Multi-OCT-SelfNet: integrating self-supervised learning with multi-source data fusion for enhanced multi-class retinal disease classification","author":"Gholami","year":"2024","journal-title":"arXiv preprint arXiv:240911375"},{"key":"10.1016\/j.ejso.2025.110188_bib77","doi-asserted-by":"crossref","DOI":"10.2196\/28868","article-title":"A multimodal imaging\u2013based deep learning model for detecting treatment-requiring retinal vascular diseases: model development and validation study","volume":"9","author":"Kang","year":"2021","journal-title":"JMIR Med Inform"}],"container-title":["European Journal of Surgical Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S074879832500616X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S074879832500616X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T01:49:35Z","timestamp":1757036975000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S074879832500616X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":77,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["S074879832500616X"],"URL":"https:\/\/doi.org\/10.1016\/j.ejso.2025.110188","relation":{},"ISSN":["0748-7983"],"issn-type":[{"value":"0748-7983","type":"print"}],"subject":[],"published":{"date-parts":[[2025,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Artificial intelligence in advancing optical coherence tomography for disease detection and cancer diagnosis: A scoping review","name":"articletitle","label":"Article Title"},{"value":"European Journal of Surgical Oncology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejso.2025.110188","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110188"}}