PhysicAI 1.0 Workshop 05 - AI in Bio-Medical Applications

Description

The session titled “PhysicAI 1.0 – AI in Biomedical Applications” , organized by the IEEE Power and Energy Society (PES) Student Branch Chapter of the University of Moratuwa in collaboration with the IEEE Robotics and Automation Society Student Branch Chapter of the University of Moratuwa , introduced participants to the applications of Artificial Intelligence in Biomedical Engineering and healthcare . The session was conducted by Dr. Pranjeevan Kulasingham , Senior Lecturer, Department of Electronic & Telecommunication Engineering, University of Moratuwa. The discussion began with an overview of Biomedical Engineering and Physical AI , followed by applications of AI in medical wearables, including Edge AI and Cloud AI architectures and techniques such as post-training quantization, knowledge distillation, and spiking neural networks. The session further explored AI applications in robot-assisted surgery , including system setup, surgical benefits, AI integration, digital twins for patient simulation, and the limitations of autonomous systems. Applications of AI in neural interfaces , such as prosthetic control, speech reconstruction, sensory implants, and therapeutic simulation, were also discussed. Participants were introduced to software-based AI applications including diagnostic and imaging assistance, drug discovery, and precision medicine . The session concluded with a discussion on important ethical and safety considerations , including algorithmic bias, cybersecurity, accessibility, legal liability, and the limitations of black-box AI systems, along with the importance of Explainable AI (XAI) . Overall, the session provided participants with a valuable overview of how AI and Physical AI are contributing to the development of advanced biomedical technologies , while highlighting the technical, ethical, and safety considerations associated with their use in healthcare.