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2026/02/01•HEMSCap Content Writer

Webinar on Leveraging AI in Diabetes Rehabilitation

Reminder: Webinar on Leveraging AI in Diabetes Rehabilitation On Wednesday, April 16,2025, the webinar "Leveraging AI in Diabetes Rehabilitation : Enhancing Outcomes and Overcoming Challenges" was held live online via ZOOM. This two-hour session, presented by Hoda Salsabili, PT, PhD, Assistant Professor at Samuel Merritt University, Department of Physical Therapy, and hosted by the California American Physical Therapy Association (CPTA), provided a valuable opportunity for physical therapists and healthcare professionals to explore the latest approaches in diabetes rehabilitation and the role of Artificial Intelligence (AI) in optimizing patient outcomes.


The course offered 2.0 CEU credits. Webinar Overview : With the increasing prevalence of diabetes and its associated complications, targeted rehabilitation plays a critical role in improving patients' quality of life. During this webinar, participants explored:


The Importance of Rehabilitation for Diabetic Patients: Examining microvascular and macrovascular complications such as neuropathy, cardiovascular diseases, retinopathy, muscle wasting and other impairmrnts affecting physical function. Statistical data highlighted the critical need for structured rehabilitation in diabetic populations. The role of AI in Diabetes Rehabilitation: Introduction to AI tools for personalized exercise programs, remote monitoring, real-time feedback and long-term outcome prediction. Practical applications such as gait analysis, fall prevention and gamification for patient engagement were discussed. Challenges in Implementing AI: Addressing ethical and privacy considerations, accessibility of AI technologies and integration challenges within existing clinical infrastructures. Key Takeaways and Benefits : Participants gained practical and scientific knowledge on integrating AI into diabetes rehabilitation. Learning how intelligent monitoring and feedback systems can enhance exercise program design tailored to each patient's needs. Reviewing case studies and real-world examples provided insights into overcoming implementation challenges and maximizing patient outcomes.

Webinar on Leveraging AI in Diabetes Rehabilitation