AI has enormous potential to improve the quality of health care, enable early diagnosis of diseases, and reduce costs. But if implemented incautiously, AI can exacerbate health disparities, endanger privacy rights, and perpetuate bias. In a new STAT report, reporters Casey Ross and Erin Brodwin, examine the possibilities and pitfalls of artificial intelligence, and offer recommendations for future best practices. They’ll be taking the virtual stage to explain their findings and take your questions live.
Coverage supported by the Commonwealth Fund.
- David Blumenthal, M.D., president of the Commonwealth Fund (introductory remarks)
- Erich S. Huang, M.D., Ph.D., director of Duke Forge, director of Duke Crucible, and chief data officer for quality, Duke Health at the Duke University School of Medicine
- Suchi Saria, Ph.D., M.Sc., founder and CEO of Bayesian Health; John C. Malone Associate Professor of Computer Science, Statistics, Nursing and Health Policy, director of machine learning, AI and Healthcare Lab, research director of the Malone Center for Engineering in Healthcare at Johns Hopkins University
- Karandeep Singh, M.D., MMSc, assistant professor of learning health sciences, internal medicine, urology, and information, University of Michigan; Chair, Michigan Medicine Clinical Intelligence Committee
- Erin Brodwin, health tech correspondent, San Francisco, STAT (moderator)
- Casey Ross, national technology correspondent, STAT (moderator)
If you’re looking for a version of this recording with closed captioning, please reach out to Julia Baker at [email protected]