{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T10:56:07Z","timestamp":1767178567908,"version":"build-2238731810"},"reference-count":31,"publisher":"Public Library of Science (PLoS)","issue":"7","license":[{"start":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T00:00:00Z","timestamp":1753228800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosdigitalhealth.org"],"crossmark-restriction":false},"short-container-title":["PLOS Digit Health"],"abstract":"<jats:p>Early identification of sexually transmitted infection (STI) symptoms can prevent subsequent complications and improve STI control. We analysed 597 images from STIAtlas and categorised the images into four typical STIs and two skin lesions by the anatomical sites of infections. We first applied nine image filters and 11 machine-learning image classifiers to the images. We then extracted radiomics features from the filtered images and trained them with 99 models that combined image filters and classifiers. Model performance was evaluated by area under curve (AUC) and permutation importance. When the information of infection sites was unspecified, a combined Gradient-Boosted Decision Trees (GBDT) classifier and Laplacian of Gaussian (LoG) filter model achieved the best overall performance with an average AUC of 0.681 (95% CI 0.628-0.734). This model predicted best for lichen sclerosus (AUC\u2009=\u20090.768, 0.740-0.796). The incorporation of infection site information led to a substantial improvement in the model\u2019s performance, with 22.3% improvement for anal infections (AUC\u2009=\u20090.833, 0.687-0.979) and 3.8% for skin infections (AUC\u2009=\u20090.707, 0.608-0.806). Lesion texture and statistical radiomics features were the most predictive for STIs. Combining machine learning and radiomics techniques is an effective method to categorise skin lesions associated with STIs clinically.<\/jats:p>","DOI":"10.1371\/journal.pdig.0000926","type":"journal-article","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T17:27:33Z","timestamp":1753291653000},"page":"e0000926","update-policy":"https:\/\/doi.org\/10.1371\/journal.pdig.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Radiomics analysis for the early diagnosis of common sexually transmitted infections and skin lesions"],"prefix":"10.1371","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5529-6660","authenticated-orcid":true,"given":"Jiajun","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhen","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingping","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janet M.","family":"Towns","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jason J.","family":"Ong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongyuan","family":"Ge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher K.","family":"Fairley","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2025,7,23]]},"reference":[{"key":"pdig.0000926.ref001","article-title":"Sexually transmitted infections (STIs)","author":"World Health Organization"},{"issue":"1","key":"pdig.0000926.ref002","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1186\/s12879-022-07544-7","article-title":"Increasing incidence rates of sexually transmitted infections from 2010 to 2019: an analysis of temporal trends by geographical regions and age groups from the 2019 Global Burden of Disease Study","volume":"22","author":"M Du","year":"2022","journal-title":"BMC Infect Dis"},{"key":"pdig.0000926.ref003","article-title":"Global progress report on HIV, viral hepatitis and sexually transmitted infections","author":"WHO","year":"2021"},{"key":"pdig.0000926.ref004","doi-asserted-by":"crossref","first-page":"508482","DOI":"10.1155\/2015\/508482","article-title":"Perinatal outcomes in HIV positive pregnant women with concomitant sexually transmitted infections","volume":"2015","author":"E Burnett","year":"2015","journal-title":"Infect Dis Obstet Gynecol"},{"issue":"8","key":"pdig.0000926.ref005","first-page":"1310","article-title":"Congenital Syphilis-An Illustrative Review","volume":"10","author":"D Sankaran","year":"2023","journal-title":"Children (Basel)"},{"key":"pdig.0000926.ref006","article-title":"Global health sector strategies on, respectively, HIV, viral hepatitis and sexually transmitted infections for the period 2022-2030","author":"World Health Organization","year":"2022"},{"issue":"12","key":"pdig.0000926.ref007","doi-asserted-by":"crossref","DOI":"10.1097\/OLQ.0000000000001512","article-title":"Sexually Transmitted Infection Epidemiology and Care in Rural Areas: A Narrative Review","volume":"48","author":"WD Jenkins","year":"2021","journal-title":"Sex Transm Dis"},{"key":"pdig.0000926.ref008","article-title":"Sexually transmitted infections in indigenous communities of the Alto Rio Solim es","volume":"33","author":"AG Gruber","year":"2021","journal-title":"Brazilian J Sexually Transmit Dis"},{"key":"pdig.0000926.ref009","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12889-019-6417-x","article-title":"Incidence rate of sexually transmitted infections among HIV infected patients on long-term ART in an urban and a rural clinic in Uganda","volume":"19","author":"S Okoboi","year":"2019","journal-title":"BMC Public Health"},{"issue":"5","key":"pdig.0000926.ref010","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1089\/omi.2019.0142","article-title":"Implementing Artificial Intelligence and Digital Health in Resource-Limited Settings? 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