Portal de Periódicos da CAPES

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

2021; Elsevier BV; Volume: 264; Linguagem: Inglês

10.1016/j.jss.2021.01.046

1095-8673

Majed El Hechi, Thomas M. Ward, Gary An, Lydia R. Maurer, Mohamad El Moheb, Georgios Tsoulfas, Haytham M.A. Kaafarani,

Advanced X-ray and CT Imaging

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.