As with medicine, artistic practice has a historical relationship with technology. Mechanization, in particular, deserves attention.

As we continue to substitute body parts with machinery, we wonder, “What makes us human?”

Virtual reality technology’s promises and perils emerge when using VPs in health professions education.

Two concerns (unknowability of how output is derived from input and overreliance on clinical decision support systems) are main sources of ethical questions about AI in health care.

A closer look at the role AI plays in health care delivery is warranted to appreciate its current strengths, limitations, and ethical complexities.

Applications can identify and monitor patients. They can also diagnose genetic, medical, and behavioral conditions.

Clinical applications of AI prompt consideration of how responsibility should be distributed among professionals, tech companies, and others.

As machine learning becomes increasingly common in health care, these systems’ data, algorithms, and recommendations raise critical justice questions.

In 2018, the AMA provided a broad framework for evolving AI in health care designed to help realize the benefits it promises for patients and clinicians.

Legal questions regarding clinicians’ and technology manufacturers’ liability arise when algorithmic recommendations generated by the technology are hard to understand.