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Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach.

Catherine Janes StaesAnna C BeckGeorge ChalkidisCarolyn H ScheeseTeresa TaftJia-Wen GuoMichael G NewmanKensaku KawamotoElizabeth Ann SlossJordan P McPherson
Published in: Journal of the American Medical Informatics Association : JAMIA (2023)
User-centered design, ongoing clinical input, and a visualization to communicate ML-related outcomes are important elements for designing any decision support tool enabled by artificial intelligence, particularly when communicating prognosis risk.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • metabolic syndrome
  • skeletal muscle
  • insulin resistance
  • weight loss