Medical accuracy of artificial intelligence chatbots in oncology: a scoping review.

Journal: The oncologist
PMID: 40285677

Abstract

BACKGROUND: Recent advances in large language models (LLM) have enabled human-like qualities of natural language competency. Applied to oncology, LLMs have been proposed to serve as an information resource and interpret vast amounts of data as a clinical decision-support tool to improve clinical outcomes.

Authors

  • David Chen
    Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Kate Avison
    Princess Margaret Hospital Cancer Centre, Radiation Medicine Program, Toronto, ON M5G 2C4, Canada.
  • Saif Alnassar
    Princess Margaret Hospital Cancer Centre, Radiation Medicine Program, Toronto, ON M5G 2C4, Canada.
  • Ryan S Huang
    Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Srinivas Raman
    Department of Radiation Oncology, BC Cancer Vancouver, 600 W 10th Ave, Vancouver, BC, V5Z 4E6, Canada, 1 416-946-4501.

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