The AMA Council on Medical Service matched physicians seeking practice locations with neighborhoods in need.

Hippocrates, a plague doctor, and today's physician practice in ancient, medieval, and contemporary times and places.

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.

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.

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

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

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.