{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T04:50:16Z","timestamp":1788324616137,"version":"build-2803163510"},"reference-count":16,"publisher":"American Society of Clinical Oncology (ASCO)","issue":"10","content-domain":{"domain":["ascopubs.org"],"crossmark-restriction":true},"short-container-title":["JCO Glob Oncol"],"published-print":{"date-parts":[[2024,12]]},"abstract":"<jats:sec>\n            <jats:title>PURPOSE<\/jats:title>\n            <jats:p>The burden of cervical cancer in India is enormous, with more than 60,000 deaths being reported in 2020. The key intervention in the WHO's global strategy for the elimination of cervical cancer is to aim for the treatment and care of 90% of women diagnosed with cervical lesions. The current screen-and-treat approach as an option for resource-limited health care systems where screening of the cervix with visual inspection with acetic acid application (VIA) is followed by immediate ablative treatment by nurses in the case of a positive test. This approach often results in overtreatment, owing to the subjective nature of the test. Unnecessary treatments can be diminished with the use of emerging computer-assisted visual evaluation technology, using artificial intelligence (AI) tool to triage VIA-positive women. The aim of this study was (1) to develop a VIA-AI tool using cervical images to identify and categorize the VIA-screen\u2013positive areas for eligibility and suitability for ablative treatment, and (2) to understand the efficacy of the VIA-AI tool in guiding the nurses to decide on treatment eligibility in the screen-and-treat cervical screening program.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>METHODS<\/jats:title>\n            <jats:p>This was an exploratory, interventional study. The VIA-AI tool was developed using deep-learning AI from the image bank collected in our previously conducted screening programs. This VIA-AI tool was then pilot-tested in an ongoing nurse-led VIA screening program.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>RESULTS<\/jats:title>\n            <jats:p>A comparative assessment of the cervical features performed in all women using the VIA-AI tool showed clinical accuracy of 76%. The perceived challenge rate for false positives was 20%.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>CONCLUSION<\/jats:title>\n            <jats:p>This novel cervical image\u2013based VIA-AI algorithm showed promising results in real-life settings, and could help minimize overtreatment in single-visit VIA screening and treatment programs in resource-constrained situations.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1200\/go.24.00146","type":"journal-article","created":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T20:59:17Z","timestamp":1734037157000},"update-policy":"https:\/\/doi.org\/10.1200\/crossmark","source":"Crossref","is-referenced-by-count":8,"title":["Development and Clinical Validation of Visual Inspection With Acetic Acid Application-Artificial Intelligence Tool Using Cervical Images in Screen-and-Treat Visual Screening for Cervical Cancer in South India: A Pilot Study"],"prefix":"10.1200","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6336-2274","authenticated-orcid":true,"given":"Usha Rani","family":"Poli","sequence":"first","affiliation":[{"name":"Public Health Foundation of India, Hyderabad, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7339-5320","authenticated-orcid":true,"given":"Anirudh G.","family":"Gudlavalleti","sequence":"additional","affiliation":[{"name":"Public Health Foundation of India, Hyderabad, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0108-1645","authenticated-orcid":true,"given":"Jaya","family":"Bharadwaj Y","sequence":"additional","affiliation":[{"name":"Joly AI, Hyderabad, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7759-7218","authenticated-orcid":true,"given":"Hira B.","family":"Pant","sequence":"additional","affiliation":[{"name":"Public Health Foundation of India, Hyderabad, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1955-8832","authenticated-orcid":true,"given":"Varun","family":"Agiwal","sequence":"additional","affiliation":[{"name":"Indian Institute of Public Health, Hyderabad, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5695-866X","authenticated-orcid":true,"given":"G.V.S.","family":"Murthy","sequence":"additional","affiliation":[{"name":"Public Health Foundation of India, Hyderabad, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"233","reference":[{"key":"e_1_3_7_2_2","volume-title":"GLOBOCAN 2012, Cancer Incidence and Mortality Worldwide in 2012","author":"Ferlay J","year":"2012","unstructured":"Ferlay J, Soerjomataram I, Ervik M, et al: GLOBOCAN 2012, Cancer Incidence and Mortality Worldwide in 2012. Lyon, France, International Agency for Research on Cancer, 2012"},{"key":"e_1_3_7_3_2","volume-title":"WHO: WHO Guidelines for Screening and Treatment of Precancerous Lesions for Cervical Cancer Prevention","year":"2013","unstructured":"WHO: WHO Guidelines for Screening and Treatment of Precancerous Lesions for Cervical Cancer Prevention, 2013. http:\/\/www.who.int\/reproductivehealth\/publications\/cancers\/screening_and_treatment_of_precancerous_lesions\/en\/index.html"},{"key":"e_1_3_7_4_2","doi-asserted-by":"publisher","DOI":"10.4103\/0970-0218.158873"},{"key":"e_1_3_7_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(19)30635-7"},{"key":"e_1_3_7_6_2","article-title":"Secondary prevention of cervical cancer: ASCO resource-stratified clinical practice guideline","author":"Jeronimo J","unstructured":"Jeronimo J, Castle PE, Temin S, et al: Secondary prevention of cervical cancer: ASCO resource-stratified clinical practice guideline. JCO Glob Oncol 10.1200\/JGO.2016.006577","journal-title":"JCO Glob Oncol"},{"key":"e_1_3_7_7_2","unstructured":"Operational Guidelines: National Programme for Prevention and Control of Cancer Diabetes Cardiovascular Diseases & Stroke (NPCDCS): Operational guidelines (revised: 2013-17). Directorate General of Health Services Ministry of Health & Family welfare Government of India 2013. http:\/\/mohfw.gov.in"},{"key":"e_1_3_7_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijgo.2010.10.012"},{"key":"e_1_3_7_9_2","doi-asserted-by":"crossref","unstructured":"Fernandes K Jamie SC Fernandes J: Automated methods for the decision support of cervical cancer screening using digital colposcopies. IEEE Access 6:33910-33927 2018","DOI":"10.1109\/ACCESS.2018.2839338"},{"key":"e_1_3_7_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2887208"},{"key":"e_1_3_7_11_2","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djy225"},{"key":"e_1_3_7_12_2","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare10020391"},{"key":"e_1_3_7_13_2","doi-asserted-by":"publisher","DOI":"10.4137\/CIN.S17948"},{"key":"e_1_3_7_14_2","first-page":"583","article-title":"Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images","volume":"11","author":"Miyagi Y","year":"2019","unstructured":"Miyagi Y, Takehara K, Miyake T: Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images. Mol Clin Oncol 11:583-589, 2019","journal-title":"Mol Clin Oncol"},{"key":"e_1_3_7_15_2","doi-asserted-by":"publisher","DOI":"10.1002\/cam4.7355"},{"key":"e_1_3_7_16_2","doi-asserted-by":"publisher","DOI":"10.1136\/ijgc-2023-004397"},{"key":"e_1_3_7_17_2","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.33879"}],"container-title":["JCO Global Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/ascopubs.org\/doi\/pdfdirect\/10.1200\/GO.24.00146","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T20:59:28Z","timestamp":1734037168000},"score":1,"resource":{"primary":{"URL":"https:\/\/ascopubs.org\/doi\/10.1200\/GO.24.00146"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":16,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["10.1200\/GO.24.00146"],"URL":"https:\/\/doi.org\/10.1200\/go.24.00146","relation":{},"ISSN":["2687-8941"],"issn-type":[{"value":"2687-8941","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]},"assertion":[{"value":"2024-04-02","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-08-01","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-10-01","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-12-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e2400146"}}