Unlock AI's Potential in Healthcare: Legal and Clinical Focus
Join Clinical AI expert Prof. Regina Barzilay (MIT) and Prof. Glenn Cohen (Harvard), who specializes in legal and regulatory issues in clinical translation of AI, for a dynamic LinkedIn Live discussion on how AI transforms the healthcare landscape—clinically, operationally, and legally.
During this hour-long conversation, moderated by MIT Visiting Senior Lecturer Paul McDonagh-Smith, you will discover:
• How AI is making healthcare predictions more accurate and empowering clinicians
• Real-world examples of AI-driven improvements in diagnostics and patient care with a focus on LLMs and imaging models
• How legal and regulatory frameworks are evolving in response to AI in medicine
• Critical ethical and policy implications for healthcare and legal professionals
• How interpretability and uncertainty estimation can improve the transparency of AI predictions
Whether you're a healthcare executive, legal advisor, compliance officer, policymaker, or clinician, this session will offer valuable insights at the intersection of AI, medicine, and the law.
Get a preview of the upcoming in-person MIT course, Transforming Healthcare with AI, taught by Barzilay, Cohen, and McDonagh-Smith (October 23–24, 2025 | MIT Campus). Learn more: executive.mit.edu/tha
Join Clinical AI expert Prof. Regina Barzilay (MIT) and Prof. Glenn Cohen (Harvard), who specializes in legal and regulatory issues in clinical translation of AI, for a dynamic LinkedIn Live discussion on how AI transforms the healthcare landscape—clinically, operationally, and legally.
During this hour-long conversation, moderated by MIT Visiting Senior Lecturer Paul McDonagh-Smith, you will discover:
• How AI is making healthcare predictions more accurate and empowering clinicians
• Real-world examples of AI-driven improvements in diagnostics and patient care with a focus on LLMs and imaging models
• How legal and regulatory frameworks are evolving in response to AI in medicine
• Critical ethical and policy implications for healthcare and legal professionals
• How interpretability and uncertainty estimation can improve the transparency of AI predictions
Whether you’re a healthcare executive, legal advisor, compliance officer, policymaker, or clinician, this session will offer valuable insights at the intersection of AI, medicine, and the law.
Get a preview of the upcoming in-person MIT course, Transforming Healthcare with AI, taught by Barzilay, Cohen, and McDonagh-Smith (October 23–24, 2025 | MIT Campus). Learn more: executive.mit.edu/tha
