L2M – NeurolAssist

We are developing a specialized AI-driven Clinical Decision Support System (CDSS) for neurology that integrates a large language model with domain-specific tools (such as neuroimaging analysis, EEG interpretation, and up-to-date medical knowledge retrieval). The system serves as an intelligent assistant for neurologists, helping analyze patient data (e.g. MRI scans, EEGs, clinical notes, etc.) and providing evidence-based diagnostic support. Uniquely, our LLM-powered solution engages in dialogue with the doctor and asks clarifying questions when it’s not sure or needs more information, and it continuously checks the reliability of its tool. We aim to integrate the system into electronic medical records (EMRs) used in Canada and the US to potentially reduce diagnostic errors and save physicians time in neurological care.

Faculty Supervisor:

Frank Rudzicz

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

Dalhousie University

Program: