Medical artificial intelligence is cost-effective and scalable and often outperforms human
providers, yet people are reluctant to use it. We show that resistance to the utilization of …

Billions of dollars are being invested into developing medical artificial intelligence (AI)
systems and yet public opinion of AI in the medical field seems to be mixed. Although high …

Experts in medical informatics have argued for the incorporation of ever more machine-
learning algorithms into medical care. As artificial intelligence (AI) research advances, such …

Emerging research suggests that people trust algorithmic decisions less than human
decisions. However, different populations, particularly in marginalized communities, may …

Artificial intelligence (AI) is revolutionizing healthcare, but little is known about consumer
receptivity to AI in medicine. Consumers are reluctant to utilize healthcare provided by AI in …

Over the next decade, one issue which will dominate sociotechnical studies in health
informatics is the extent to which the promise of artificial intelligence in health care will be …

Artificial intelligence (AI) can provide many benefits in healthcare, including rapid and
effective treatment options. However, previous research on human–computer interactions …

Direct-to-consumer medical artificial intelligence/machine learning applications are
increasingly used for a variety of diagnostic assessments, and the emphasis on …

Background Healthcare is expected to increasingly integrate technologies enabled by
artificial intelligence (AI) into patient care. Understanding perceptions of these tools is …

Will consumers accept artificial intelligence (AI) as a medical care provider? On the basis of
evolution theory, we investigate the implicit psychological mechanisms that underlie …