Safe and Explainable AI
NCT06694181 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 300000
Last updated 2026-02-25
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.
Conditions
- Artifical Inteligence
- Cardiology
- Breast Cancer
- Sepsis
Interventions
- OTHER
-
AI-PERSONALIZED CLINICAL DECISION SUPPORT
AI-ENABLED DECISION MAKING FOR PERSONALIZED CLINICAL DECISION SUPPORT
Sponsors & Collaborators
-
Abramson Cancer Center at Penn Medicine
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-11-29
- Primary Completion
- 2028-11-30
- Completion
- 2028-11-30
Countries
- United States
Study Locations
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