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Bias in AI models for fetal cardiac screening: the consequences of training predominantly on normal anatomy.

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Title: Bias in AI models for fetal cardiac screening: the consequences of training predominantly on normal anatomy.
Authors: Besson, R.1 (AUTHOR), Fries, N.2 (AUTHOR), Oyelese, Y.3,4,5 (AUTHOR), Khalil, A.6,7,8 (AUTHOR), Stirnemann, J.9 (AUTHOR), Ville, Y.9 (AUTHOR) ville.yves@gmail.com
Source: Ultrasound in Obstetrics & Gynecology. May2026, p1. 3p. 2 Illustrations.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 193921233
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Ultrasound+in+Obstetrics+%26+Gynecology%22">Ultrasound in Obstetrics & Gynecology</searchLink>. May2026, p1. 3p. 2 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193921233
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      – Type: doi
        Value: 10.1002/uog.70236
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      – Code: eng
        Text: English
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        PageCount: 3
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      – TitleFull: Bias in AI models for fetal cardiac screening: the consequences of training predominantly on normal anatomy.
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            NameFull: Besson, R.
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            NameFull: Fries, N.
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            – D: 23
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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            – TitleFull: Ultrasound in Obstetrics & Gynecology
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