RecruitingNCT06694181

Safe and Explainable AI

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

Sponsor

Abramson Cancer Center at Penn Medicine

Enrollment

300,000 participants

Start Date

Nov 29, 2025

Study Type

OBSERVATIONAL

Conditions

Breast Cancer Artifical Inteligence Cardiology Sepsis

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.

Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This study is developing and testing artificial intelligence (AI) prediction models to improve clinical care for three medical conditions — heart disease, sepsis (a life-threatening infection response), and breast cancer. The AI models analyze patient data from Penn Medicine hospitals to make predictions that could help doctors make faster, better-informed decisions. **You may be eligible if...** - You are 18 or older - You were admitted to a Penn Medicine hospital from 2017 to the present with a heart condition, sepsis risk, or invasive breast cancer (stage 1–4) **You may NOT be eligible if...** - You are under 18 years old - For the heart disease model: your main reason for admission was cardiac arrest - For the sepsis model: you had existing limitations on life-sustaining treatment before your hospital stay Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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