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Artificial Intelligence-enabled Decision Support in Surgery: State-of-the-art and Future Directions.
Loftus, Tyler J; Altieri, Maria S; Balch, Jeremy A; Abbott, Kenneth L; Choi, Jeff; Marwaha, Jayson S; Hashimoto, Daniel A; Brat, Gabriel A; Raftopoulos, Yannis; Evans, Heather L; Jackson, Gretchen P; Walsh, Danielle S; Tignanelli, Christopher J.
Afiliação
  • Loftus TJ; Department of Surgery, University of Florida Health, Gainesville, FL.
  • Altieri MS; American College of Surgeons Health Information Technology Committee and Artificial Intelligence Subcommittee, Chicago, IL.
  • Balch JA; American College of Surgeons Health Information Technology Committee and Artificial Intelligence Subcommittee, Chicago, IL.
  • Abbott KL; Department of Surgery, University of Pennsylvania, Philadelphia, PA.
  • Choi J; Department of Surgery, University of Florida Health, Gainesville, FL.
  • Marwaha JS; American College of Surgeons Health Information Technology Committee and Artificial Intelligence Subcommittee, Chicago, IL.
  • Hashimoto DA; Department of Surgery, University of Florida Health, Gainesville, FL.
  • Brat GA; American College of Surgeons Health Information Technology Committee and Artificial Intelligence Subcommittee, Chicago, IL.
  • Raftopoulos Y; American College of Surgeons Health Information Technology Committee and Artificial Intelligence Subcommittee, Chicago, IL.
  • Evans HL; Department of Surgery, Stanford University, Stanford, CA.
  • Jackson GP; American College of Surgeons Health Information Technology Committee and Artificial Intelligence Subcommittee, Chicago, IL.
  • Walsh DS; Department of Surgery, Beth Israel Deaconess Medical Center.
  • Tignanelli CJ; Department of Biomedical Informatics, Harvard Medical School, Boston, MA.
Ann Surg ; 278(1): 51-58, 2023 07 01.
Article em En | MEDLINE | ID: mdl-36942574
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article