Clinical AI tools must convey predictive uncertainty for each individual patient

Artificial intelligence tools usually aim to maximize predictive accuracy, but personalized measures of uncertainty, using new techniques such as conformal prediction, are needed for clinical artificial intelligence to realize its potential and improve human health.

Automated summary

Personalized measures of uncertainty, utilizing techniques like conformal prediction, are crucial for clinical artificial intelligence to reach its potential and enhance human health.