AMA Journal of Ethics

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

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.

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

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.

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

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

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

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

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

Overhaul of curricula is due and should focus on knowledge management (rather than information acquisition), effective use of AI, improved communication, and empathy.