A new framework for working with AI as a doctor has been published in the Journal of the American Medical Informatics Association.
The framework consists of “five guiding questions aimed at supporting doctors in their patient care while not undermining their expertise through an over-reliance on AI.” AI can be a powerful tool doctors can wield to get better results, but it can also “distract doctors, give them too much confidence in the answers it provides, and even lead them to lose confidence in their own diagnostic judgment.”
The senior author of the study says that the paper “moves the discussion from how well the AI algorithm performs to how physicians actually interact with AI during diagnosis.” The questions that the paper introduces are: “What type and format of information should AI present? Should it provide that information immediately, after initial review, or be toggled on and off by the physician? How does the AI system show how it arrives at its decisions? How does it affect bias and complacency? And finally, what are the risks of long-term reliance on it?”
The researchers decided on these questions to shed more light on how and why the AI system came to give its specific answers. The questions also attempt to center the physician and prevent an over-reliance on AI.
