Harnessing AI in Neuromodulation: Transforming Patient Outcomes (On-Demand Webinar)-Harnessing AI in Neuromodulation

Video Transcription

Video Summary

The NANS Educational Committee webinar, led by Dr. Yashar Ashravi, addresses the potential and challenges of integrating AI into neuromodulation for pain management. The discussion explores how AI could transform clinical practices by identifying subpopulations within patient data using machine learning and natural language processing. Distinguished speakers include Dr. Ryan DeSouza from Mayo Clinic, who discusses ethical and technical challenges associated with AI, highlighting patient privacy, cybersecurity, and the variability of data sources. Dr. Amit Atala provides an overview of AI’s landscape in healthcare, emphasizing the role of large foundation models and their ability to be fine-tuned with domain-specific data. Dr. Stephen Voloshinek presents current evidence on AI in neuromodulation, focusing on identifying biomarkers from neural signals and using them to optimize device feedback for pain management. Dr. Christopher Robinson delves into the future, proposing that AI can predict and adapt neuromodulation treatments and even suggests potential for functional neuromodulation in spinal cord injury rehabilitation. The panel acknowledges the inevitable incorporation of AI into healthcare and stresses the need for reliable, unbiased data and collaboration among engineers, clinicians, and AI experts to advance the technology responsibly. Audience questions address the practical use of AI in medical training and spinal cord stimulation, underscoring the overall sentiment that AI, despite its current limitations, holds significant promise for revolutionizing patient care and pain management in the future.

Keywords

AI

neuromodulation

pain management

machine learning

natural language processing

patient privacy

cybersecurity

biomarkers

healthcare

spinal cord injury