{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T19:54:50Z","timestamp":1791316490609,"version":"4.3.1"},"reference-count":23,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T00:00:00Z","timestamp":1789344000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T00:00:00Z","timestamp":1789344000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003123","name":"Fetal Medicine Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003123","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ultrasound in Obstet &amp;amp; Gyne"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To assess the accuracy of gestational\u2010age estimation using an artificial intelligence (AI) system applied to non\u2010targeted ultrasound sweeps at 11\u2009+\u20090 to 13\u2009+\u20096\u2009weeks' gestation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This was an observational study of singleton pregnancies undergoing routine first\u2010trimester ultrasound in July 2025 to August 2025. Gestational age was estimated using crown\u2013rump length (CRL), measured independently by two experienced sonographers blinded to the other's results, and by an AI system applied twice per examination. Comparisons were made using mean absolute error (MAE) and Bland\u2013Altman analysis. A hierarchical measurement error model was used to account for uncertainty in CRL\u2010based estimates and to estimate accuracy relative to a latent true gestational age, with Bayesian inference.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Overall, 285 women with a singleton pregnancy were included. The AI model estimated gestational age in all cases, with a median acquisition time of 23\u2009s for the first AI measurement. The MAE between AI\u2010 and CRL\u2010based gestational age was 2.1 (95%\u2009CI, 1.9\u20132.3)\u2009days for single measurements and 2.0\u2009days when averaging both AI estimates. Limits of agreement were wider for AI\u2010based estimates than for CRL\u2010based estimates, indicating lower precision. When accounting for measurement error in CRL, the estimated MAE for AI was lower (1.8\u2009days for single and 1.6\u2009days for duplicate measurements). CRL\u2010based estimates showed lower variability than AI\u2010based estimates. Within\u2010operator variation was the main source of error in AI measurements.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      AI\u2010based gestational\u2010age estimation performs well in the first trimester but is less precise than gestational\u2010age estimation using CRL measured by experienced sonographers. Measurement error models give a clearer picture of performance by accounting for variability in CRL and show that the accuracy of AI\u2010based estimates is better than suggested by simple comparisons. \u00a9 2026 The Author(s).\n                      <jats:italic>Ultrasound in Obstetrics &amp; Gynecology<\/jats:italic>\n                      published by John Wiley &amp; Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/uog.70335","type":"journal-article","created":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T06:05:52Z","timestamp":1789452352000},"page":"510-517","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Real\u2010time gestational\u2010age estimation at 11\u201313\u2009weeks using artificial intelligence on non\u2010targeted ultrasound sweeps"],"prefix":"10.1002","volume":"68","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0717-5861","authenticated-orcid":false,"given":"G.","family":"Eisenkolb","sequence":"first","affiliation":[{"name":"Fetal Medicine Research Institute, King's College Hospital  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"Wright","sequence":"additional","affiliation":[{"name":"Institute of Health Research University of Exeter  Exeter UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5856-6072","authenticated-orcid":false,"given":"A.","family":"Syngelaki","sequence":"additional","affiliation":[{"name":"Fetal Medicine Research Institute, King's College Hospital  London UK"},{"name":"Department of Women &amp; Children's Health School of Life Course &amp; Population Sciences, Faculty of Life Sciences &amp; Medicine, King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4561-3206","authenticated-orcid":false,"given":"G.","family":"Soraci","sequence":"additional","affiliation":[{"name":"Fetal Medicine Research Institute, King's College Hospital  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3011-8743","authenticated-orcid":false,"given":"S.","family":"Medrano Z\u00e1ciga","sequence":"additional","affiliation":[{"name":"Fetal Medicine Research Institute, King's College Hospital  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1266-0711","authenticated-orcid":false,"given":"K. H.","family":"Nicolaides","sequence":"additional","affiliation":[{"name":"Fetal Medicine Research Institute, King's College Hospital  London UK"},{"name":"Department of Women &amp; Children's Health School of Life Course &amp; Population Sciences, Faculty of Life Sciences &amp; Medicine, King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,14]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1471-0528.1975.tb00710.x"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/humrep\/den224"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2015.08.034"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.11095"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.23690"},{"key":"e_1_2_7_7_1","unstructured":"NICE.Antenatal care NICE guidance (NG201). 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