Safe and Explainable AI
Recruiting now
Conditions studied: Artifical Inteligence, Cardiology, Breast Cancer, Sepsis
In brief
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.
Key facts
- Study ID
- NCT06694181
- Run by
- Abramson Cancer Center at Penn Medicine
- People needed
- 300000
- Starts
- 2025-11-29
- Expected to finish
- 2028-11-01
- Last updated by the study team
- 2026-02-25
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Cardiology 18 years of age and older, admitted to any of the Penn Medicine hospitals from 2017 to the present. Sepsis 18 years of age at the time of presentation to an emergency department or admission to any Penn Medicine hospital from July 1, 2017, onward will be eligible as this represents the population at risk for acquiring sepsis Oncology 18 years of age and older with a diagnosis of invasive breast cancer (Stage 1-4) in the Penn Cancer registry
- Exclusion Criteria All prediction models will exclude patients under the age of 18 from their patient data sets.
- Cardiology Patients whose primary admission diagnosis was cardiac arrest Sepsis Those with pre-existing limitations on life-sustaining therapy will be excluded because their eligibility for sepsis definitions, care received, and outcomes, may be significantly and variably affected by pre-existing limitations on care. Oncology There are no other exclusions.
Where it is running
- Hospital of the University of Pennsylvania — Philadelphia, Pennsylvania, United States (enrolling)
Full record on ClinicalTrials.gov
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