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Safe and Explainable AI
Sponsor: Abramson Cancer Center at Penn Medicine
Summary
While current AI technology is suitable for automating some repetitive clinical tasks, technical challenges remain in solving critical and gainful problems in the domains of patient and disease management. The proposed research seeks to address issues in medical AI, such as integrating medical knowledge effectively, making AI recommendations explainable to clinicians, and establishing safety guarantees.
Official title: SAFE AND EXPLAINABLE AI-ENABLED DECISION MAKING FOR PERSONALIZED CLINICAL DECISION SUPPORT
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
300000
Start Date
2025-11-29
Completion Date
2028-11
Last Updated
2026-02-25
Healthy Volunteers
No
Interventions
AI-PERSONALIZED CLINICAL DECISION SUPPORT
AI-ENABLED DECISION MAKING FOR PERSONALIZED CLINICAL DECISION SUPPORT
Locations (1)
Hospital of the University of Pennsylvania
Philadelphia, Pennsylvania, United States