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Review
. 2021 Aug:264:A1-A9.
doi: 10.1016/j.jss.2021.01.046. Epub 2021 Mar 18.

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

Majed El Hechi  1 , Thomas M Ward  2 , Gary C An  3 , Lydia R Maurer  4 , Mohamad El Moheb  1 , Georgios Tsoulfas  5 , Haytham M Kaafarani  6
Affiliations
Review

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

Majed El Hechi et al. J Surg Res. 2021 Aug.

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.

Keywords: Artificial intelligence; Emergency surgery; General surgery; Machine-learning; Risk prediction.

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