Opportunities of AI-powered applications in anesthesiology to enhance patient safety.
作者信息
Kovacheva Vesela P, Nagle Baily
机构信息
Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
出版信息
Int Anesthesiol Clin. 2024 Apr 1;62(2):26-33. doi: 10.1097/AIA.0000000000000437. Epub 2024 Feb 13.
Abstract
摘要
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3
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Curr Opin Anaesthesiol. 2022 Dec 1;35(6):710-716. doi: 10.1097/ACO.0000000000001201. Epub 2022 Oct 18.
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