Curious about the intersection of AI and healthcare? Join us for a compelling discussion on Hungary’s ambitious vision to build a data-driven, AI-enabled health system.
We’ll unpack both the threats and opportunities around unlocking AI as a systems capability in health.
- Gain insights into the various promises, threats data driven health brings, potential for patients, efficiency gains for systems, dangers of data colonisation and risks for solidarity based health care systems
- Develop the digital phenotype by combining clinical, operational, genomic, and environmental data.
- Debate the issues for privacy-preserving AI at scale
- Explore the policy and governance implications for countries pursuing digital health transformation
- Leverage Hungary’s case study to draw insights with global implications
This study group / discussion is open to all HUID holders. Registration is not necessary.
M-RCBG welcomes individuals with disabilities to participate in its programs. To request accommodations or ask questions about access provided, please email: mrcbg@hks.harvard.edu
Speakers and Presenters
Miklós Szócska, M-RCBG Senior Fellow