The CPTA Annual Conference 2025 was held on Sunday, September 21, 2025, from 10:30 AM to 12:00 PM at the Renaissance Palm Springs Hotel, bringing together a large community of physical therapists, educators and healthcare professionals focused on innovation in physical therapy practice and education. During the conference, Dr. Hoda Salsabili, PT, PhD, from Samuel Merritt University, delivered a podium presentation titled : ''Integrating Artificial Intelligence into Physical Therapy Education : Enhancing Clinical Reasoning and Exercise Tracking.'' The presentation focused on the role of artificial intelligence in Physical Therapy education, highlighting how AI tools can support key learning objectives such as data-driven clinical reasoning, personalized exercise prescription, and objective movement analysis. The study described an educational experience involving third-year physical therapy students, designed to introduce AI literacy and hands-on use of emerging digital tools within the PT curriculum. As part of the practical learning sessions, students used the PivotalPT AI Platform, powered by HEMSCap, which leverages computer vision and generative AI to support movement assessment, real-time feedback, biomechanical data visualization, and automated clinical documentation. This hands-on exposure enabled students to apply objective data to clinical decision-making and better understand how AI can enhance exercise tracking and therapeutic planning. HEMSCap was proud to be a technology partner in this academic initiative and to participate in a leading professional conference attended by a broad audience of Physical Therapists and educators. The strong engagement and positive feedback from students underscored the value of integrating Ai-powered platforms into Physical Therapy education.
This collaboration also serves as an important reminder f the need to validate digital health platforms across multiple studies and educational settings. Remind people about validating our platform in multiple studies. HEMSCap remains committed to supporting additional educational and research initiatives, working closely with academic institutions and professional communities to advance AI literacy, data-informed clinical reasoning and innovation in Physical Therapy education and training.
