The Transformative Potential of AI in Obstetrics and Gynaecology

被引：1
|
作者：
Dick, Kevin [1 ]
Humber, James [2 ]
Ducharme, Robin [2 ]
Dingwall-Harvey, Alysha [1 ,2 ]
Armour, Christine M. [1 ,3 ,4 ]
Hawken, Steven [1 ,2 ,5 ,6 ]
Walker, Mark C. [1 ,2 ,5 ,6 ,7 ,8 ,9 ,10 ]
机构：
[1] Childrens Hosp Eastern Ontario, Res Inst, Ottawa, ON, Canada
[2] Ottawa Hosp, Clin Epidemiol Program, Res Inst, Ottawa, ON, Canada
[3] Univ Ottawa, Dept Pediat, Ottawa, ON, Canada
[4] Better Outcomes Registry & Network, Prenatal Screening Ontario, Ottawa, ON, Canada
[5] Univ Ottawa, Sch Epidemiol & Publ Hlth, Ottawa, ON, Canada
[6] ICES, Toronto, ON, Canada
[7] Univ Ottawa, Dept Obstet & Gynecol, Ottawa, ON, Canada
[8] Univ Ottawa, Int & Global Hlth Off, Ottawa, ON, Canada
[9] Childrens Hosp Eastern Ontario, BORN Ontario, Ottawa, ON, Canada
[10] Ottawa Hosp, Dept Obstet Gynecol & Newborn Care, Ottawa, ON, Canada
来源：
JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA | 2024年 / 46卷 / 03期
关键词：
artificial intelligence; machine learning; deep learning; computer-assisted diagnosis; computer-assisted image interpretation; patient-specific modelling;
D O I：
10.1016/j.jogc.2023.102277
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
The transformative power of artificial intelligence (AI) is reshaping diverse domains of medicine. Recent progress, catalyzed by computing advancements, has seen commensurate adoption of AI technologies within obstetrics and gynaecology. We explore the use and potential of AI in three focus areas: predictive modelling for pregnancy complications, Deep learning -based image interpretation for precise diagnoses, and large language models enabling intelligent health care assistants. We also provide recommendations for the ethical implementation, governance of AI, and promote research into AI explainability, which are crucial for responsible AI integration and deployment. AI promises a revolutionary era of personalized health care in obstetrics and gynaecology.
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页数：4
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