AI in health care and its future implications inspires hope and attracts criticism in equal measure. It often draws contrasting views from doctors and technologists. This panel explores how machine learning and clinical decision support can augment or replace traditional, human-centered diagnosis and treatment paradigms with more scientific, data-driven methods.
Examine the core issues in medical practice such as what it means to be a doctor “and patient” in the digital age
Discuss whether and how clinicians can answer to a new kind of authority: an electronic one (e.g., IBM Watson) Illustrate how AI can transform diagnosis, treatment, workflow, and engagement
Identify examples of health care’s latest AI bets
Assess how health care professionals can prepare for and take advantage of inevitable advances in intelligent computing