{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T17:08:30Z","timestamp":1792084110880,"version":"4.4.0"},"reference-count":30,"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"},{"start":{"date-parts":[[2026,8,16]],"date-time":"2026-08-16T00:00:00Z","timestamp":1786838400000},"content-version":"am","delay-in-days":349,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["UL1TR001427"],"award-info":[{"award-number":["UL1TR001427"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018488","name":"University of Florida Clinical and Translational Science Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018488","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007698","name":"University of Florida","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007698","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["UL1TR000064"],"award-info":[{"award-number":["UL1TR000064"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","jmig.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Minimally Invasive Gynecology"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1016\/j.jmig.2025.05.003","type":"journal-article","created":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T11:05:18Z","timestamp":1747652718000},"page":"784-792.e12","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":13,"title":["Utilizing Artificial Intelligence: Machine Learning Algorithms to Develop a Preoperative Endometriosis Prediction Model"],"prefix":"10.1016","volume":"32","author":[{"given":"Danielle L.","family":"Snyder","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Silvana","family":"Sidhom","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Corinne E.","family":"Chatham","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4708-4452","authenticated-orcid":false,"given":"Sophie G.","family":"Tillotson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5346-8630","authenticated-orcid":false,"given":"Ruben D.","family":"Zapata","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4366-0757","authenticated-orcid":false,"given":"Fran\u00e7ois","family":"Modave","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miranda","family":"Solly","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amira","family":"Quevedo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9401-4785","authenticated-orcid":false,"given":"Nash S.","family":"Moawad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jmig.2025.05.003_bib0001","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-021-99681-3","article-title":"Real world data on symptomology and diagnostic approaches of 27,840 women living with endometriosis","volume":"11","author":"Becker","year":"2021","journal-title":"Sci Rep"},{"key":"10.1016\/j.jmig.2025.05.003_bib0002","doi-asserted-by":"crossref","first-page":"1475","DOI":"10.1093\/humrep\/dew085","article-title":"A prospective cohort study of endometriosis and subsequent risk of infertility","volume":"31","author":"Prescott","year":"2016","journal-title":"Hum Reprod"},{"key":"10.1016\/j.jmig.2025.05.003_bib0003","doi-asserted-by":"crossref","first-page":"1392","DOI":"10.1111\/j.1471-0528.2008.01879.x","article-title":"Endometriosis and its coexistence with irritable bowel syndrome and pelvic inflammatory disease: findings from a national case-control study\u2014part 2","volume":"115","author":"Seaman","year":"2008","journal-title":"BJOG"},{"key":"10.1016\/j.jmig.2025.05.003_bib0004","doi-asserted-by":"crossref","first-page":"1244","DOI":"10.1056\/NEJMra1810764","article-title":"Endometriosis","volume":"382","author":"Zondervan","year":"2020","journal-title":"N Engl J Med"},{"key":"10.1016\/j.jmig.2025.05.003_bib0005","doi-asserted-by":"crossref","first-page":"354.e1","DOI":"10.1016\/j.ajog.2018.12.039","article-title":"Clinical diagnosis of endometriosis: a call to action","volume":"220","author":"Agarwal","year":"2019","journal-title":"Am J Obstet Gynecol"},{"key":"10.1016\/j.jmig.2025.05.003_bib0006","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1097\/AOG.0b013e3181e8b073","article-title":"Practice Bulletin No. 114: management of endometriosis","volume":"116","year":"2010","journal-title":"Obstet Gynecol"},{"key":"10.1016\/j.jmig.2025.05.003_bib0007","doi-asserted-by":"crossref","first-page":"3412","DOI":"10.1093\/humrep\/des316","article-title":"Diagnostic delay for endometriosis in Austria and Germany: causes and possible consequences","volume":"27","author":"Hudelist","year":"2012","journal-title":"Hum Reprod"},{"key":"10.1016\/j.jmig.2025.05.003_bib0008","doi-asserted-by":"crossref","first-page":"612","DOI":"10.3390\/jcm11030612","article-title":"Salivary MicroRNA signature for diagnosis of endometriosis","volume":"11","author":"Bendifallah","year":"2022","journal-title":"J Clin Med"},{"key":"10.1016\/j.jmig.2025.05.003_bib0009","article-title":"A comprehensive review of the diagnostic landscape of endometriosis: assessing tools, uncovering strengths, and acknowledging limitations","volume":"16","author":"Dantkale","year":"2024","journal-title":"Cureus"},{"key":"10.1016\/j.jmig.2025.05.003_bib0010","doi-asserted-by":"crossref","DOI":"10.1155\/2020\/3583989","article-title":"Diagnostic accuracy of ultrasound and MRI in the mapping of deep pelvic endometriosis using the international deep endometriosis analysis (IDEA) consensus","volume":"2020","author":"Indrielle-Kelly","year":"2020","journal-title":"Biomed Res Int"},{"key":"10.1016\/j.jmig.2025.05.003_bib0011","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1016\/j.jmig.2024.04.006","article-title":"Non-invasive imaging techniques for diagnosis of pelvic deep endometriosis and endometriosis classification systems: an international consensus statement","volume":"31","author":"Condous","year":"2024","journal-title":"J Minim Invasive Gynecol"},{"key":"10.1016\/j.jmig.2025.05.003_bib0012","article-title":"Transvaginal ultrasound and magnetic resonance imaging in the diagnosis of endometrioma: a systematic review and meta-analysis of diagnostic test accuracy studies","volume":"44","author":"Kanti","year":"2024","journal-title":"J Obstet Gynaecol (Lahore)"},{"key":"10.1016\/j.jmig.2025.05.003_bib0013","doi-asserted-by":"crossref","first-page":"1750","DOI":"10.3390\/ijms21051750","article-title":"Biomarkers for the noninvasive diagnosis of endometriosis: state of the art and future perspectives","volume":"21","author":"Anastasiu","year":"2020","journal-title":"Int J Mol Sci"},{"key":"10.1016\/j.jmig.2025.05.003_bib0014","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.fertnstert.2007.11.038","article-title":"A logistic model for the prediction of endometriosis","volume":"91","author":"Stegmann","year":"2009","journal-title":"Fertil Steril"},{"key":"10.1016\/j.jmig.2025.05.003_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.eclinm.2021.101263","article-title":"A new validated screening method for endometriosis diagnosis based on patient questionnaires","volume":"44","author":"Chapron","year":"2022","journal-title":"EClinicalMedicine"},{"key":"10.1016\/j.jmig.2025.05.003_bib0016","article-title":"Developing preoperative nomograms to predict any-stage and stage III-IV endometriosis in infertile women","volume":"7","author":"Guo","year":"2020","journal-title":"Front Med (Lausanne)"},{"key":"10.1016\/j.jmig.2025.05.003_bib0017","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1016\/j.fertnstert.2012.04.022","article-title":"Developing symptom-based predictive models of endometriosis as a clinical screening tool: results from a multicenter study","volume":"98","author":"Nnoaham","year":"2012","journal-title":"Fertil Steril"},{"key":"10.1016\/j.jmig.2025.05.003_bib0018","doi-asserted-by":"crossref","first-page":"2126","DOI":"10.1093\/humrep\/deh374","article-title":"Clinical predictive factors for endometriosis in a Portuguese infertile population","volume":"19","author":"Calhaz-Jorge","year":"2004","journal-title":"Hum Reprod"},{"key":"10.1016\/j.jmig.2025.05.003_bib0019","doi-asserted-by":"crossref","first-page":"174","DOI":"10.5301\/je.5000200","article-title":"Development of a symptom-based, screening tool for early-stage endometriosis in patients with chronic pelvic pain","volume":"6","author":"Yeung","year":"2014","journal-title":"J Endometr Pelvic Pain Disord"},{"key":"10.1016\/j.jmig.2025.05.003_bib0020","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1080\/01443610701405721","article-title":"Predicting the presence of rectovaginal endometriosis from the clinical history: a retrospective observational study","volume":"27","author":"Griffiths","year":"2007","journal-title":"J Obstet Gynaecol (Lahore)"},{"key":"10.1016\/j.jmig.2025.05.003_bib0021","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0300186","article-title":"FEMaLe: the use of machine learning for early diagnosis of endometriosis based on patient self-reported data-study protocol of a multicenter trial","volume":"19","author":"Balogh","year":"2024","journal-title":"PLoS One"},{"key":"10.1016\/j.jmig.2025.05.003_bib0022","doi-asserted-by":"crossref","first-page":"5499","DOI":"10.1038\/s41598-023-32761-8","article-title":"Self-report symptom-based endometriosis prediction using machine learning","volume":"13","author":"Goldstein","year":"2023","journal-title":"Sci Rep"},{"key":"10.1016\/j.jmig.2025.05.003_bib0023","article-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Lundberg","year":"2017"},{"key":"10.1016\/j.jmig.2025.05.003_bib0024","doi-asserted-by":"crossref","first-page":"13356","DOI":"10.1038\/s41598-023-39680-8","article-title":"Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms","volume":"13","author":"Kang","year":"2023","journal-title":"Sci Rep"},{"key":"10.1016\/j.jmig.2025.05.003_bib0025","doi-asserted-by":"crossref","DOI":"10.1093\/hropen\/hoac009","article-title":"ESHRE guideline: endometriosis","volume":"2022","author":"Becker","year":"2022","journal-title":"Hum Reprod Open"},{"key":"10.1016\/j.jmig.2025.05.003_bib0026","doi-asserted-by":"crossref","first-page":"500.e1","DOI":"10.1016\/j.ajog.2021.06.067","article-title":"Incidence, prevalence, and trends in endometriosis diagnosis: a United States population-based study from 2006 to 2015","volume":"225","author":"Christ","year":"2021","journal-title":"Am J Obstet Gynecol"},{"key":"10.1016\/j.jmig.2025.05.003_bib0027","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.fertnstert.2009.01.164","article-title":"Can specific pain symptoms help in the diagnosis of endometriosis? A cohort study of women with chronic pelvic pain","volume":"94","author":"Ballard","year":"2010","journal-title":"Fertil Steril"},{"key":"10.1016\/j.jmig.2025.05.003_bib0028","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1111\/j.1479-828X.2009.01030.x","article-title":"Relevance of gastrointestinal symptoms in endometriosis","volume":"49","author":"Maroun","year":"2009","journal-title":"Aust N Z J Obstet Gynaecol"},{"key":"10.1016\/j.jmig.2025.05.003_bib0029","doi-asserted-by":"crossref","first-page":"2143","DOI":"10.1016\/j.cgh.2024.03.005","article-title":"Endometriosis is associated with higher healthcare utilization and upper gastrointestinal symptoms","volume":"22","author":"Simons","year":"2024","journal-title":"Clin Gastroenterol Hepatol"},{"key":"10.1016\/j.jmig.2025.05.003_bib0030","doi-asserted-by":"crossref","first-page":"1580","DOI":"10.1016\/j.fertnstert.2021.07.1205","article-title":"Early identification of women with endometriosis by means of a simple patient-completed questionnaire screening tool: a diagnostic study","volume":"116","author":"Fauconnier","year":"2021","journal-title":"Fertil Steril"}],"container-title":["Journal of Minimally Invasive Gynecology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1553465025001657?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1553465025001657?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T21:03:15Z","timestamp":1757106195000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1553465025001657"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":30,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["S1553465025001657"],"URL":"https:\/\/doi.org\/10.1016\/j.jmig.2025.05.003","relation":{},"ISSN":["1553-4650"],"issn-type":[{"value":"1553-4650","type":"print"}],"subject":[],"published":{"date-parts":[[2025,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Utilizing Artificial Intelligence: Machine Learning Algorithms to Develop a Preoperative Endometriosis Prediction Model","name":"articletitle","label":"Article Title"},{"value":"Journal of Minimally Invasive Gynecology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jmig.2025.05.003","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Published by Elsevier Inc. on behalf of AAGL.","name":"copyright","label":"Copyright"}]}}