Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey.

Thomas Ploug Anna Sundby Thomas Baltzer Moeslund Soren Holm

Published in: Journal of medical Internet research (2021)

The 3 factors that are most important to the public are, in descending order of importance, (1) that physicians are ultimately responsible for diagnostics and treatment planning, (2) that the AI decision support is explainable, and (3) that the AI system has been tested for discrimination. Public policy on AI system use in health care should give priority to such AI system use and ensure that patients are provided with information.

Keyphrases

artificial intelligence
healthcare
machine learning
big data
deep learning
end stage renal disease
mental health
ejection fraction
primary care
public health
prognostic factors
peritoneal dialysis
decision making
cross sectional
adverse drug
drug induced