Transforming Neurorehabilitation with Ai-based Brain and Human-computer Interfaces

Monday, May 18, 2026

4:00 PM - 5:00 PM PT

Location: Ballroom A/B

Ideal Audience:Physicians, Researchers, Residents/Fellows, Medical Students

Course Director(s)

Qing Mei Wang, MD, PhD

Director, Stroke Biological Recovery Laboratory
Spaulding Rehabilitation Hospital/Harvard Medical School

Speaker(s)

Xun Luo, MD (he/him/his)

Academician, European Academy of Natural Sciences; Academy Master Supervisor, Wenzhou Medical University
Wenzhou Medical University Big Health Development Institute
Haijie Liu, MD, PhD

Associate professor
Department of Neurology, Xuanwu Hospital Capital medical University, China
Yuan Peng, MD

Associate Professor
Guangzhou First People's Hospital

Brief Session Description : Discover how cutting-edge technologies are transforming neurorehabilitation. This interactive session explores the use of brain-computer interfaces and human-computer interaction systems in assessment and treatment. Through evidence-based presentations, real-world case studies, participants will learn how to integrate AI-driven tools into clinical practice. Ideal for rehabilitation professionals, researchers, and clinicians seeking innovative, tech-enabled approaches to care.

COI
Unless noted below there are none.
Qing Mei Wang, MD, PhD – Disclosed role as site principal investigator (NIH-funded research)

Session Objectives:

1. Identify current applications of artificial intelligence, brain and human-computer interfaces in the assessment and treatment of neurological conditions.

2. Analyze the benefits, limitations considerations associated with integrating AI, BCI and HCI technologies into neurorehabilitation practice.

3. Apply knowledge of AI-driven tools and interfaces to evaluate neurorehabilitation case studies and propose technology-enhanced intervention strategies.
CanMEDS: Medical Expert. Health Advocate. Scholar.