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Artificial Intelligence, Machine Learning, and Surgical Science: Reality Versus Hype.
El Hechi, Majed; Ward, Thomas M; An, Gary C; Maurer, Lydia R; El Moheb, Mohamad; Tsoulfas, Georgios; Kaafarani, Haytham M.
Afiliação
  • El Hechi M; Division of Trauma, Emergency Surgery, and Surgical Critical Care, Massachusetts General Hospital, Boston, Massachusetts.
  • Ward TM; Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts; Surgical Artificial Intelligence and Innovation Laboratory, Massachusetts General Hospital, Boston, Massachusetts.
  • An GC; Division of Acute Care Surgery, Department of Surgery, Robert Larner, MD College of Medicine, University of Vermont, Burlington, Vermont.
  • Maurer LR; Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts.
  • El Moheb M; Division of Trauma, Emergency Surgery, and Surgical Critical Care, Massachusetts General Hospital, Boston, Massachusetts.
  • Tsoulfas G; Department of Surgery, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  • Kaafarani HM; Division of Trauma, Emergency Surgery, and Surgical Critical Care, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: HKAAFARANI@mgh.harvard.edu.
J Surg Res ; 264: A1-A9, 2021 08.
Article em En | MEDLINE | ID: mdl-33743995
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cirurgia Geral / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cirurgia Geral / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article