Artificial Intelligence & Machine Learning · Intelligent Systems Lab
Explainable Decision Support for Clinical Triage
This project develops triage-support models that surface the specific evidence behind a recommendation, so clinical staff can agree, override, or ask for more information rather than simply trusting a score. The team is now running structured evaluations with partner clinicians to test whether the explanations actually change decisions for the better.
Research Question
This project develops triage-support models that surface the specific evidence behind a recommendation, so clinical staff can agree, override, or ask for more information rather than simply trusting a score.
Project Timeline
Concept
Investigation
Prototype
Evaluation
Publication
Deployment
Student Involvement
6 graduate researchers and 3 undergraduate research assistants, primarily from CSC305 and CSC401.
Related Research
Lead Researcher
Elena Marchetti
Research Group
Intelligent Systems Lab
Started
September 1, 2023
Current Stage
Evaluation