{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T13:56:10Z","timestamp":1791381370840,"version":"4.3.3"},"reference-count":22,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T00:00:00Z","timestamp":1778025600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T00:00:00Z","timestamp":1778025600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Prenatal Diagnosis"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To develop and evaluate an artificial intelligence (AI) system that automatically identifies and classifies the fetal structures in the first trimester.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>Over 20,000 ultrasound images from first\u2010trimester fetuses were prospectively collected from four university hospitals in the Republic of Korea. Images were annotated according to segmentation\u2010specific structures by anatomical regions, including the head, neck, thorax, abdomen, extremities, and spine, based on standardized guidelines. The YOLACT model, which enabels real\u2010time instance segmentation, was used to detect and segment fetal structures. The dataset was randomly divided into a training set (95%) and a test set (5%). Model performance was evaluated using detection accuracy, mean average precision (mAP), and frames per second (FPS).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The YOLACT model achieved an overall anatomical detection accuracy of 98.4%. High segmentation performance (F1\u2010score &gt; 0.950) was observed for well\u2010defined structures such as the cranium, heart, and abdominal circumference. Structures like the nasal bone and extremities had relatively lower recall. The model's mAP at IoU 0.5 was 0.622, and real\u2010time processing was confirmed with a speed of 25.4 FPS.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The YOLACT\u2010based AI model demonstrated accurate and efficient segmentation of fetal structures in the first trimester, supporting its potential for real\u2010time clinical application in early anomaly screening.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/pd.70156","type":"journal-article","created":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T13:47:17Z","timestamp":1778075237000},"page":"966-973","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning\u2013Based Segmentation of Fetal Anatomical Structures in the First Trimester"],"prefix":"10.1002","volume":"46","author":[{"given":"Subeen","family":"Hong","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynecology Seoul St. Mary's Hospital College of Medicine The Catholic University of Korea  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oyoung","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Yeouido St. Mary's Hospital College of Medicine The Catholic University of Korea  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Byung Soo","family":"Kang","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Seoul St. Mary's Hospital College of Medicine The Catholic University of Korea  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sangeun","family":"Won","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Seoul St. Mary's Hospital College of Medicine The Catholic University of Korea  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6310-6206","authenticated-orcid":false,"given":"Hyun Sun","family":"Ko","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Seoul St. Mary's Hospital College of Medicine The Catholic University of Korea  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji Hea","family":"Byun","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Eunpyeong St. Mary's Hospital College of Medicine The Catholic University of Korea  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeong Ha","family":"Wie","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Eunpyeong St. Mary's Hospital College of Medicine The Catholic University of Korea  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji Young","family":"Kwon","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Eunpyeong St. Mary's Hospital College of Medicine The Catholic University of Korea  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyung Eun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Bucheon St. Mary's Hospital College of Medicine The Catholic University of Korea  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8326-8541","authenticated-orcid":false,"given":"Jae Eun","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Bucheon St. Mary's Hospital College of Medicine The Catholic University of Korea  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yeon Hee","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Uijeongbu St. Mary's Hospital College of Medicine The Catholic University of Korea  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaehong","family":"Lee","sequence":"additional","affiliation":[{"name":"AI Vision Group Samsung Medison Co. Ltd  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kwang Yeon","family":"Choi","sequence":"additional","affiliation":[{"name":"AI Vision Group Samsung Medison Co. Ltd  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9458-2886","authenticated-orcid":false,"given":"In Yang","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Seoul St. Mary's Hospital College of Medicine The Catholic University of Korea  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,6]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102629"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.26130"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.29172"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2712367"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2018.11.016"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3069663"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.27608"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1159\/000538243"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00925"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICoDSA58501.2023.10277564"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2022.3222356"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2022.107170"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2858779"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics11010021"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361\u20106560\/ab3ad1"},{"key":"e_1_2_11_19_1","volume-title":"Enhancing Trainee Performance in Obstetric Ultrasound Through an Artificial Intelligence System: Randomized Controlled Trialed","author":"Lei T.","year":"2024"},{"key":"e_1_2_11_20_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1469\u20100705.1994.04010029.x"},{"key":"e_1_2_11_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00982"},{"key":"e_1_2_11_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.593"},{"key":"e_1_2_11_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"}],"container-title":["Prenatal Diagnosis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/obgyn.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/pd.70156","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/obgyn.onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/pd.70156","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/obgyn.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/pd.70156","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T13:24:03Z","timestamp":1791379443000},"score":1,"resource":{"primary":{"URL":"https:\/\/obgyn.onlinelibrary.wiley.com\/doi\/10.1002\/pd.70156"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,6]]},"references-count":22,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2026,6]]}},"alternative-id":["10.1002\/pd.70156"],"URL":"https:\/\/doi.org\/10.1002\/pd.70156","archive":["Portico"],"relation":{},"ISSN":["0197-3851","1097-0223"],"issn-type":[{"value":"0197-3851","type":"print"},{"value":"1097-0223","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,6]]},"assertion":[{"value":"2026-01-12","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-04-07","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-05-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}