Artificial Intelligence and Surgical Decision-making.

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Bibliographic Details
Title: Artificial Intelligence and Surgical Decision-making.
Authors: Loftus TJ; Department of Surgery, University of Florida Health, Gainesville., Tighe PJ; Departments of Anesthesiology, Orthopedics, and Information Systems/Operations Management, University of Florida Health, Gainesville., Filiberto AC; Department of Surgery, University of Florida Health, Gainesville., Efron PA; Department of Surgery, University of Florida Health, Gainesville., Brakenridge SC; Department of Surgery, University of Florida Health, Gainesville., Mohr AM; Department of Surgery, University of Florida Health, Gainesville., Rashidi P; Departments of Biomedical Engineering, Computer and Information Science and Engineering, and Electrical and Computer Engineering, University of Florida, Gainesville., Upchurch GR Jr; Department of Surgery, University of Florida Health, Gainesville., Bihorac A; Department of Medicine, University of Florida Health, Gainesville.
Source: JAMA surgery [JAMA Surg] 2020 Feb 01; Vol. 155 (2), pp. 148-158.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Review
Journal Info: Publisher: American Medical Association Country of Publication: United States NLM ID: 101589553 Publication Model: Print Cited Medium: Internet ISSN: 2168-6262 (Electronic) Linking ISSN: 21686254 NLM ISO Abbreviation: JAMA Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2168-6262
DOI:10.1001/jamasurg.2019.4917