Lab profile
About CAILHS
The Center for AI-enabled Learning Health Science is one of the first in the country to build an AI-driven learning health system. The center combines artificial intelligence with clinical data to improve health care outcomes, focusing on developing practical, ethical, patient-focused systems at the forefront of health informatics and learning health science.
01 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
02 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Optimizing generative artificial intelligence for clinical summarization: a blinded comparison study of automated versus human care planning synopses.JAMIA open · 2026
- Governance of Artificial Intelligence in an Academic Health System After 2 Years.Studies in health technology and informatics · 2026
- Real-world evidence for comparative safety of second-line antihyperglycemic agents in older adults with type 2 diabetes.Nature communications · 2026
Active NIH grants
- Multiple Chronic COnditions: MultiPle dAta SouRcEs (MC COMPARE)David A. Dorr · NIA · FY 2025
03 · Updates
Updates and lab news
News and events from the lab’s own site.
No news has been collected from the lab’s site yet.
04 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
05 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.