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
2023-09
Investigation
2024-02
Prototype
2024-07
Evaluation
2024-12
Publication
2025-05
Deployment
2025-10
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