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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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  Data: Development and validation of an artificial intelligence assisted prenatal ultrasonography screening system for trainees.
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  Data: <searchLink fieldCode="AU" term="%22Lei+T%22">Lei T</searchLink>; Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Feng+JL%22">Feng JL</searchLink>; Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Lin+MF%22">Lin MF</searchLink>; Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Xie+BH%22">Xie BH</searchLink>; Guangzhou Aiyunji Information Technology Co., Ltd, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Zhou+Q%22">Zhou Q</searchLink>; Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Wang+N%22">Wang N</searchLink>; Guangzhou Aiyunji Information Technology Co., Ltd, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Zheng+Q%22">Zheng Q</searchLink>; Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Yang+YD%22">Yang YD</searchLink>; Department of Ultrasonic Medicine, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Guo+HM%22">Guo HM</searchLink>; Department of Ultrasonic Medicine, DongGuan City Maternal and Child Health Hospital, DongGuan, China.<br /><searchLink fieldCode="AU" term="%22Xie+HN%22">Xie HN</searchLink>; Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0210174 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-3479 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200207292%22">00207292 </searchLink><i>NLM ISO Abbreviation: </i>Int J Gynaecol Obstet <i>Subsets: </i>MEDLINE
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        Value: 10.1002/ijgo.15167
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        Text: English
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              Text: 2024 Apr
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