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 McPhersonPublished 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.