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NCT06694181Recruiting

Safe and Explainable AI

Abramson Cancer Center at Penn Medicine

Start Date

11/29/2025

Completion Date

11/1/2028

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 Criteria

Age Range: 18 years to No maximum

Inclusion Criteria: 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.

Interventions

OTHER

AI-PERSONALIZED CLINICAL DECISION SUPPORT

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Conditions

Artifical InteligenceCardiologyBreast CancerSepsis

Locations

Hospital of the University of Pennsylvania

Philadelphia, Pennsylvania 19104

United States