Overcoming Challenges in Stroke Rehabilitation by Integrating AI and Technology Throughout the Care Continuum 1209

Tuesday, October 28, 2025

1:30 PM - 2:30 PM

Location: ROOM: Joliet Room >>> DIRECTIONS Third Floor >>> From the Main Elevator Bank, proceed right. Turn right at the Marquette Foyer. The Joliet Room is located at the end of the hall on your left.

CE: OT and PT credit only

Presenter(s)

Talya K. Fleming, MD, FAAPMR

Assoc Prof-RWJMS & HMSOM; Medical Director: Stroke Recovery Program, Post-COVID Rehabilitation Program, Aftercare Program
JFK Johnson Rehabilitation Institute
Edison, NJ, United States
Qinyin Qiu, PhD (she/her/hers)

Associate Professor
Rutgers School of Health Professions, Department of Rehabilitation and Movement Science
Warren, New Jersey, United States

Corresponding Presenter(s)

Mee Eriksson, n/a (she/her/hers)

CEO
NeuroTechR3, Inc.
Warren, New Jersey, United States

Slides Slides

Presenter(s)

Natalia Noce

Assistant Professor
Rutgers School of Health Professions
Summit, NJ, United States
AG

Amanda Gross

Chief Technology Officer
NeuroTechR3, Inc.
Warren, NJ, United States

This presentation explores how technology is transforming stroke recovery across the care continuum, from hospitals to outpatient centers and home-based rehabilitation. Experts will discuss advancements such as Artificial Intelligence (AI), Exergames, Virtual Reality (VR), Augmented Reality (AR), real-time biofeedback, and telerehabilitation, emphasizing their role in enhancing patient outcomes, streamlining healthcare workflows, and enabling remote care. Research findings, including a study with Kessler Foundation, demonstrate that technology-supported rehabilitation can drive significant improvements in hand function even years post-stroke. The session highlights how these innovations address barriers like limited access to specialized care, transportation issues, and healthcare disparities. It will also review current upper extremity rehabilitation technologies, including robotics, wearables, neuromodulation, and motion capture systems. Challenges such as data bias and regulatory hurdles in implementing AI will be addressed, along with future trends like autonomous therapy agents and personalized treatment plans. This session is intended for healthcare professionals with an intermediate background in stroke rehabilitation.

Learning Objectives:

Understand the integration of advanced technologies, including AI, Exergames, VR/AR, and real-time biofeedback systems, into stroke rehabilitation to enhance personalized treatment, streamline healthcare workflows, and improve patient outcomes across the care continuum.
Explore the challenges and opportunities in implementing technology-supported stroke rehabilitation, including barriers to access healthcare and leveraging hybrid models combining traditional therapy and technology supported rehab solutions for improved patient engagement and recovery outcomes.
Gain understanding of future trends for AI in rehabilitation, including agentic AI for autonomous therapy, personalized rehabilitation programs based on individual data, and predictive analytics for early intervention in motor recovery