{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T18:44:04Z","timestamp":1792089844371,"version":"4.4.0"},"reference-count":12,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,1,24]],"date-time":"2025-01-24T00:00:00Z","timestamp":1737676800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["fertstertreports.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["F&S Reports"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1016\/j.xfre.2025.01.015","type":"journal-article","created":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T10:09:25Z","timestamp":1738058965000},"page":"140-146","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"title":["Real-world use of an artificial intelligence\u2013powered clinical decision support tool for ovarian stimulation"],"prefix":"10.1016","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8559-0364","authenticated-orcid":false,"given":"Cameron J.","family":"Bixby","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bradley","family":"Miller","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.xfre.2025.01.015_bib2","doi-asserted-by":"crossref","first-page":"579","DOI":"10.3389\/fendo.2019.00579","article-title":"FSH requirements for follicle growth during controlled ovarian stimulation","volume":"10","author":"Abbara","year":"2019","journal-title":"Front Endocrinol (Lausanne)"},{"key":"10.1016\/j.xfre.2025.01.015_bib3","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.1016\/j.fertnstert.2020.06.006","article-title":"Artificial intelligence in in vitro fertilization: a computer decision support system for day-to-day management of ovarian stimulation during in vitro fertilization","volume":"114","author":"Letterie","year":"2020","journal-title":"Fertil Steril"},{"key":"10.1016\/j.xfre.2025.01.015_bib4","doi-asserted-by":"crossref","first-page":"1227","DOI":"10.1016\/j.fertnstert.2021.06.018","article-title":"A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes","volume":"116","author":"Hariton","year":"2021","journal-title":"Fertil Steril"},{"key":"10.1016\/j.xfre.2025.01.015_bib5","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.fertnstert.2022.04.003","article-title":"An interpretable machine learning model for predicting the optimal day of trigger during ovarian stimulation","volume":"118","author":"Fanton","year":"2022","journal-title":"Fertil Steril"},{"key":"10.1016\/j.xfre.2025.01.015_bib6","doi-asserted-by":"crossref","first-page":"1152","DOI":"10.1016\/j.rbmo.2022.07.010","article-title":"An interpretable machine learning model for individualized gonadotrophin starting dose selection during ovarian stimulation","volume":"45","author":"Fanton","year":"2022","journal-title":"Reprod Biomed Online"},{"key":"10.1016\/j.xfre.2025.01.015_bib7","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1016\/j.fertnstert.2017.08.016","article-title":"Patient-tailored ovarian stimulation for in vitro fertilization","volume":"108","author":"Fauser","year":"2017","journal-title":"Fertil Steril"},{"key":"10.1016\/j.xfre.2025.01.015_bib8","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0239779","article-title":"Maternal serum concentration of anti-M\u00fcllerian hormone is a better predictor than basal follicle stimulating hormone of successful blastocysts development during IVF treatment","volume":"15","author":"Sadruddin","year":"2020","journal-title":"PLoS One"},{"key":"10.1016\/j.xfre.2025.01.015_bib9","doi-asserted-by":"crossref","first-page":"181","DOI":"10.3389\/fendo.2019.00181","article-title":"Individualization of FSH doses in assisted reproduction: facts and fiction","volume":"10","author":"Broekmans","year":"2019","journal-title":"Front Endocrinol (Lausanne)"},{"key":"10.1016\/j.xfre.2025.01.015_bib10","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1016\/j.rbmo.2022.06.010","article-title":"Supporting first FSH dosage for ovarian stimulation with machine learning","volume":"45","author":"Correa","year":"2022","journal-title":"Reprod Biomed Online"},{"key":"10.1016\/j.xfre.2025.01.015_bib11","doi-asserted-by":"crossref","first-page":"762","DOI":"10.1016\/j.fertnstert.2023.01.001","article-title":"A higher number of oocytes retrieved is associated with an increase in fertilized oocytes, blastocysts, and cumulative live birth rates","volume":"119","author":"Fanton","year":"2023","journal-title":"Fertil Steril"},{"key":"10.1016\/j.xfre.2025.01.015_bib12","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1016\/j.fertnstert.2018.04.037","article-title":"Personalized ovarian stimulation for assisted reproductive technology: study design considerations to move from hype to added value for patients","volume":"109","author":"Mol","year":"2018","journal-title":"Fertil Steril"},{"key":"10.1016\/j.xfre.2025.01.015_bib13","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1093\/humupd\/8.6.559","article-title":"Epidemiology and prevention of ovarian hyperstimulation syndrome (OHSS): a review","volume":"8","author":"Delvigne","year":"2002","journal-title":"Hum Reprod Update"}],"container-title":["F&S Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666334125000170?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666334125000170?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:17:16Z","timestamp":1750292236000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2666334125000170"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":12,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["S2666334125000170"],"URL":"https:\/\/doi.org\/10.1016\/j.xfre.2025.01.015","relation":{},"ISSN":["2666-3341"],"issn-type":[{"value":"2666-3341","type":"print"}],"subject":[],"published":{"date-parts":[[2025,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Real-world use of an artificial intelligence\u2013powered clinical decision support tool for ovarian stimulation","name":"articletitle","label":"Article Title"},{"value":"F&S Reports","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.xfre.2025.01.015","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Author(s). Published by Elsevier Inc. on behalf of American Society for Reproductive Medicine.","name":"copyright","label":"Copyright"}]}}