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Artificial intelligence-assisted quality assessment of mid-trimester ultrasound examinations using large

Jin Zhang1, Bojian Feng2, Yan Cheng1

  • 1Department of Ultrasound Medicine, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), No. 369, Kunpeng Road, Shangcheng District, Hangzhou, 310008, China.

BMC Pregnancy and Childbirth
|April 23, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Artificial intelligenceDecision support systems, clinicalFetal anomalyPregnancy trimester, secondUltrasonography, prenatal

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