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Safe and Explainable AI

Safe and Explainable AI

Recruiting
18 years and older
All
Phase N/A

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Overview

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

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.

Study details
    Artifical Inteligence
    Cardiology
    Breast Cancer
    Sepsis

NCT06694181

Abramson Cancer Center at Penn Medicine

26 February 2026

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A clinical trial is a study designed to test specific interventions or treatments' effectiveness and safety, paving the way for new, innovative healthcare solutions.

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