NCT06694181

Safe and Explainable AI

SAFE AND EXPLAINABLE AI-ENABLED DECISION MAKING FOR PERSONALIZED CLINICAL DECISION SUPPORT

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 300,000 (estimated)
• Sponsor: Abramson Cancer Center at Penn Medicine · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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

Type	Name	Description
OTHER	AI-PERSONALIZED CLINICAL DECISION SUPPORT	AI-ENABLED DECISION MAKING FOR PERSONALIZED CLINICAL DECISION SUPPORT

Timeline

• Start date: 2025-11-29
• Primary completion: 2028-11-01
• Completion: 2028-11-01
• First posted: 2024-11-19
• Last updated: 2026-02-25

Locations

1 site across 1 country: United States