T-CAIREM Trainee Rounds 2026: David Chen & Mahri Kadyrova

This is the second 2026 Trainee Rounds presentation featuring some of the most exciting AI in medicine research taking place in Canada. DATE: June 10, 2026 METHOD: Zoom ____________________ DAVID CHEN ABSTRACT TITLE Development of an Agentic Multi-LLM System to Support the Informed Consent Process in Clinical Trials ABSTRACT Background: Large language models (LLMs) could assist clinical trial coordinators in responding to trial participant queries during the informed consent process. We developed an agentic, multi-LLM system that generates accurate responses grounded in the trial knowledge base, and iteratively improves the accuracy of its own responses. ____________________ MAHRI KADYROVA ABSTRACT TITLE Deep Learning–Based Tongue Segmentation and Motion Analysis in Motor Neuron Disease Using Uncontrolled Videos ABSTRACT Introduction. Monitoring motor neuron disease (MND) progression, particularly tongue function, is vital for timely intervention but limited by access to and variability of clinical assessments. Remote video-based evaluation using machine learning–derived tongue motion features offer a scalable alternative. This study aimed to (1) identify the best-performing tongue segmentation model for the pipeline and (2) clinically validate tongue motion features. END