SAFE AND EXPLAINABLE AI-ENABLED DECISION MAKING FOR PERSONALIZED CLINICAL DECISION SUPPORT
Abramson Cancer Center at Penn Medicine
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
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- No
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. Cardiolo…
Interventions
- OtherAI-PERSONALIZED CLINICAL DECISION SUPPORT
AI-ENABLED DECISION MAKING FOR PERSONALIZED CLINICAL DECISION SUPPORT
Location
- Hospital of the University of PennsylvaniaPhiladelphia, Pennsylvania