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人工智能、机器学习和外科科学:现实与炒作。

Artificial Intelligence, Machine Learning, and Surgical Science: Reality Versus Hype.

机构信息

Division of Trauma, Emergency Surgery, and Surgical Critical Care, Massachusetts General Hospital, Boston, Massachusetts.

Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts; Surgical Artificial Intelligence and Innovation Laboratory, Massachusetts General Hospital, Boston, Massachusetts.

出版信息

J Surg Res. 2021 Aug;264:A1-A9. doi: 10.1016/j.jss.2021.01.046. Epub 2021 Mar 18.

DOI:10.1016/j.jss.2021.01.046
PMID:33743995
Abstract

Artificial intelligence (AI) has made increasing inroads in clinical medicine. In surgery, machine learning-based algorithms are being studied for use as decision aids in risk prediction and even for intraoperative applications, including image recognition and video analysis. While AI has great promise in surgery, these algorithms come with a series of potential pitfalls that cannot be ignored as hospital systems and surgeons consider implementing these technologies. The aim of this review is to discuss the progress, promise, and pitfalls of AI in surgery.

摘要

人工智能(AI)在临床医学中的应用日益广泛。在外科领域,基于机器学习的算法正在被研究用于风险预测的决策辅助,甚至用于术中应用,包括图像识别和视频分析。虽然 AI 在外科领域具有巨大的应用前景,但这些算法存在一系列潜在的陷阱,医院系统和外科医生在考虑实施这些技术时不能忽视这些陷阱。本文旨在讨论 AI 在外科领域的进展、前景和陷阱。

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