{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T23:17:20Z","timestamp":1789168640952,"version":"build-2803163510"},"reference-count":19,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2024,2,5]],"date-time":"2024-02-05T00:00:00Z","timestamp":1707091200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Dermatology"],"published-print":{"date-parts":[[2024,8]]},"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n There is a huge demand\u2013supply gap between the incidence of genital dermatoses (including sexually transmitted infections and non\u2010venereal genital dermatoses) and physicians trained to manage them.<\/jats:p>\n <\/jats:sec>\n \n Objectives<\/jats:title>\n To find out the performance of an artificial intelligence (AI)\u2010based mobile application in the\u00a0image diagnosis of genital dermatoses, and to compare it with primary care physicians (PCPs) and dermatologists.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n Photos of the genital diseases of consecutive patients presenting to the STD and genital diseases clinic were included. The gold standard diagnosis was established by the consensus of two certified dermatologists after examination and one positive investigation. Image diagnoses by the DermaAId application, two PCPs, and two dermatologists were recorded and compared to the gold standard diagnosis and to each other.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n A total of 257 genital disease images, including 95 (37.0%) anogenital warts, 60 (22.2%) lichen sclerosus, 20 (7.8%) anogenital herpes, 15 (5.8%) tinea cruris, 14 (5.4%) molluscum contagiosum, 9 (3.5%) candidiasis, 8 (3.1%) scabies, 6 (2.3%) squamous cell carcinomas, were included. The top\u20101 correct diagnosis rate of the application was 68.9%, compared to the 50.4% of the PCPs and 73.2% of the dermatologists. The application significantly outperformed PCPs with regard to the correlation with the gold standard diagnosis (\n P<\/jats:italic>\n \u2009<\u20090.0001), and matched that of the dermatologists.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n AI\u2010based image diagnosis platforms can potentially be a low\u2010cost rapid decision support tool for PCPs, integrated with syndromic management programs and direct\u2010to\u2010consumer services, and address healthcare inequities in managing genital dermatoses.<\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/ijd.17060","type":"journal-article","created":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T00:51:03Z","timestamp":1707267063000},"page":"1074-1080","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["The performance of an artificial intelligence\u2010based computer vision mobile application for the image diagnosis of genital dermatoses: a prospective cross\u2010sectional study"],"prefix":"10.1111","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1735-1494","authenticated-orcid":false,"given":"Nikhil","family":"Mehta","sequence":"first","affiliation":[{"name":"Department of Dermatology and Venereology All India Institute of Medical Sciences New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ejaz","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Dermatology and Venereology All India Institute of Medical Sciences New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rajat","family":"Choudhary","sequence":"additional","affiliation":[{"name":"Department of Dermatology and Venereology All India Institute of Medical Sciences New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dhwani","family":"Dholakia","sequence":"additional","affiliation":[{"name":"Data Analyst (Bioinformatician) Rajiv Gandhi Cancer Institute and Research Centre New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sachin","family":"Goel","sequence":"additional","affiliation":[{"name":"Department of Dermatology and Venereology All India Institute of Medical Sciences New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Somesh","family":"Gupta","sequence":"additional","affiliation":[{"name":"Department of Dermatology and Venereology All India Institute of Medical Sciences New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,2,5]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"Sexually transmitted infections (STIs). Accessed April 24 2023.https:\/\/www.who.int\/news\u2010room\/fact\u2010sheets\/detail\/sexually\u2010transmitted\u2010infections\u2010(stis)"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12879\u2010022\u201007544\u20107"},{"key":"e_1_2_8_4_1","unstructured":"National RTI STI technical guidelines Sep2014_0.pdf. 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