Human–machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system

While a growing number of machine learning (ML) systems have been deployed in clinical settings with the promise of improving patient care, many have struggled to gain adoption and realize this promise. Based on a qualitative analysis of coded interviews with clinicians who use an ML-based system fo... View More