{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T08:35:12Z","timestamp":1770971712439,"version":"3.50.1"},"reference-count":6,"publisher":"American Medical Association (AMA)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"DOI":"10.1001\/jamanetworkopen.2022.17869","type":"journal-article","created":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T15:05:00Z","timestamp":1655823900000},"page":"e2217869","source":"Crossref","is-referenced-by-count":2,"title":["Deep Learning for Nuchal Translucency\u2013Based Screening for Fetal Trisomy 21"],"prefix":"10.1001","volume":"5","author":[{"given":"Tuangsit","family":"Wataganara","sequence":"first","affiliation":[{"name":"Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10","published-online":{"date-parts":[[2022,6,21]]},"reference":[{"issue":"6","key":"zic220109r1","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2022.17854","article-title":"Development and validation of a deep learning model to screen for trisomy 21 during the first trimester from nuchal ultrasonographic images.","volume":"5","author":"Zhang","year":"2022","journal-title":"JAMA Netw Open"},{"issue":"6","key":"zic220109r2","doi-asserted-by":"publisher","first-page":"650.e1","DOI":"10.1016\/j.ajog.2019.09.041","article-title":"Prospective evaluation of screening performance of first-trimester prediction models for preterm preeclampsia in an Asian population.","volume":"221","author":"Chaemsaithong","year":"2019","journal-title":"Am J Obstet Gynecol"},{"issue":"8","key":"zic220109r3","doi-asserted-by":"publisher","first-page":"11","DOI":"10.3390\/diagnostics11081511","article-title":"A 10-year retrospective review of prenatal applications, current challenges and future prospects of three-dimensional sonoangiography.","volume":"11","author":"Wataganara","year":"2021","journal-title":"Diagnostics (Basel)"},{"key":"zic220109r4","doi-asserted-by":"publisher","DOI":"10.1002\/14651858.CD012600","article-title":"First trimester ultrasound tests alone or in combination with first trimester serum tests for Down\u2019s syndrome screening.","volume":"3","author":"Alldred","year":"2017","journal-title":"Cochrane Database Syst Rev"},{"key":"zic220109r5","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.101973","article-title":"Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos.","volume":"69","author":"Sharma","year":"2021","journal-title":"Med Image Anal"},{"key":"zic220109r6","doi-asserted-by":"publisher","first-page":"n1872","DOI":"10.1136\/bmj.n1872","article-title":"Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy.","volume":"374","author":"Freeman","year":"2021","journal-title":"BMJ"}],"container-title":["JAMA Network Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/articlepdf\/2793380\/wataganara_2022_ic_220109_1654705572.54073.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T23:05:01Z","timestamp":1675897501000},"score":1,"resource":{"primary":{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/fullarticle\/2793380"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,21]]},"references-count":6,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,6,1]]}},"URL":"https:\/\/doi.org\/10.1001\/jamanetworkopen.2022.17869","relation":{},"ISSN":["2574-3805"],"issn-type":[{"value":"2574-3805","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,21]]}}}