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Multicenter Evaluation of an Artificial Intelligence System for Automatic Recognition of Fetal Ultrasound Findings Suggestive of Congenital Malformations.

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Title: Multicenter Evaluation of an Artificial Intelligence System for Automatic Recognition of Fetal Ultrasound Findings Suggestive of Congenital Malformations.
Authors: Morisset C; Sonio SAS, and Obstetrics, Paris Descartes University, Necker-Enfants Malades Hospital, Paris, and the IMAGYN'ECHO Medical Center, Montpellier, France; the Department of Obstetrics, Gynecology and Reproductive Sciences, University of Maryland, Baltimore, Maryland; and the Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts., Logé-Munerel F, Debavelaere V, Besson R, Turan S, Fries N, Stirnemann J, Oyelese Y, Ville Y
Source: Obstetrics and gynecology [Obstet Gynecol] 2026 Aug 01; Vol. 148 (2), pp. 238-246. Date of Electronic Publication: 2026 Jan 08.
Publication Type: Journal Article; Multicenter Study; Evaluation Study
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0401101 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-233X (Electronic) Linking ISSN: 00297844 NLM ISO Abbreviation: Obstet Gynecol Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Multicenter Evaluation of an Artificial Intelligence System for Automatic Recognition of Fetal Ultrasound Findings Suggestive of Congenital Malformations.
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  Data: <searchLink fieldCode="AU" term="%22Morisset+C%22">Morisset C</searchLink>; Sonio SAS, and Obstetrics, Paris Descartes University, Necker-Enfants Malades Hospital, Paris, and the IMAGYN'ECHO Medical Center, Montpellier, France; the Department of Obstetrics, Gynecology and Reproductive Sciences, University of Maryland, Baltimore, Maryland; and the Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Logé-Munerel+F%22">Logé-Munerel F</searchLink><br /><searchLink fieldCode="AU" term="%22Debavelaere+V%22">Debavelaere V</searchLink><br /><searchLink fieldCode="AU" term="%22Besson+R%22">Besson R</searchLink><br /><searchLink fieldCode="AU" term="%22Turan+S%22">Turan S</searchLink><br /><searchLink fieldCode="AU" term="%22Fries+N%22">Fries N</searchLink><br /><searchLink fieldCode="AU" term="%22Stirnemann+J%22">Stirnemann J</searchLink><br /><searchLink fieldCode="AU" term="%22Oyelese+Y%22">Oyelese Y</searchLink><br /><searchLink fieldCode="AU" term="%22Ville+Y%22">Ville Y</searchLink>
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  Data: <searchLink fieldCode="JN" term="%220401101%22">Obstetrics and gynecology</searchLink> [Obstet Gynecol] 2026 Aug 01; Vol. 148 (2), pp. 238-246. <i>Date of Electronic Publication: </i>2026 Jan 08.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Lippincott+Williams+%26+Wilkins%22">Lippincott Williams & Wilkins </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0401101 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-233X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200297844%22">00297844 </searchLink><i>NLM ISO Abbreviation: </i>Obstet Gynecol <i>Subsets: </i>MEDLINE
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        Value: 10.1097/AOG.0000000000006164
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      – Code: eng
        Text: English
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      – TitleFull: Multicenter Evaluation of an Artificial Intelligence System for Automatic Recognition of Fetal Ultrasound Findings Suggestive of Congenital Malformations.
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              M: 08
              Text: 2026 Aug 01
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              Y: 2026
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