Development and validation of an artificial intelligence assisted prenatal ultrasonography screening system for trainees.

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Title: Development and validation of an artificial intelligence assisted prenatal ultrasonography screening system for trainees.
Authors: Lei T; Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China., Feng JL; Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China., Lin MF; Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China., Xie BH; Guangzhou Aiyunji Information Technology Co., Ltd, Guangzhou, Guangdong, China., Zhou Q; Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China., Wang N; Guangzhou Aiyunji Information Technology Co., Ltd, Guangzhou, Guangdong, China., Zheng Q; Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China., Yang YD; Department of Ultrasonic Medicine, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China., Guo HM; Department of Ultrasonic Medicine, DongGuan City Maternal and Child Health Hospital, DongGuan, China., Xie HN; Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Source: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics [Int J Gynaecol Obstet] 2024 Apr; Vol. 165 (1), pp. 306-317. Date of Electronic Publication: 2023 Oct 04.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 0210174 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3479 (Electronic) Linking ISSN: 00207292 NLM ISO Abbreviation: Int J Gynaecol Obstet Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1879-3479
DOI:10.1002/ijgo.15167