Utilizing Artificial Intelligence and Wearable Devices to Reshape Neurological Care: Cheryl Kyinn, PA-C

WATCH TIME: 4 minutes

"Being able to monitor patients long-term with continuous, real-time monitoring is going to be useful not just in Parkinson [disease] but in epilepsy and so many other conditions."

Advancements in neurology care are rapidly transforming how clinicians diagnose and manage neurological disorders. Artificial intelligence (AI)-driven technologies, including machine learning algorithms and wearable devices, are enabling more precise diagnostics, real-time patient monitoring, and personalized treatment strategies. These innovations help detect subtle disease progression patterns, optimize therapy adjustments, and improve overall patient outcomes.¹ With AI-powered tools becoming more integrated into clinical practice, neurology is shifting toward a data-driven and individualized approach to care. Additionally, AI can enhance decision-making by analyzing vast amounts of patient data, allowing clinicians to predict disease trajectories and tailor interventions accordingly.

In movement disorders like Parkinson disease (PD), new technologies are enhancing both symptom tracking and treatment efficacy. Wearable devices provide continuous data on motor fluctuations, offering clinicians a more comprehensive understanding of disease progression beyond the limited window of in-office visits. These devices, paired with AI, can identify subtle changes in movement patterns, enabling earlier intervention. Additionally, AI-integrated neuromodulation techniques, such as adaptive deep brain stimulation, are evolving to self-adjust based on brain activity, improving therapeutic precision and reducing adverse effects.² This shift toward personalized, responsive treatments allows for more effective long-term disease management and improved quality of life for patients.

Cheryl Kyinn, PA-C, a physician assistant specializing in Parkinson disease, recently sat down with NeurologyLive^® to discuss the impact of these emerging technologies. In the conversation, she explored how AI-driven wearable technology is improving diagnostic accuracy, the challenges of integrating real-time monitoring into clinical practice, and the future of neuromodulation techniques in personalizing treatment strategies. As neurology continues to embrace these innovations, she explained that understanding their benefits and potential limitations will be key to optimizing patient care and advancing the field.

REFERENCES
1. Dorsey ER, Sherer T, Okun MS, Bloem BR. The Emerging Evidence of the Parkinson Pandemic. J Parkinsons Dis. 2018;8(s1):S3-S8. doi:10.3233/JPD-181474
2. Little S, Pogosyan A, Neal S, et al. Adaptive deep brain stimulation in advanced Parkinson disease. Ann Neurol. 2013;74(3):449-457. doi:10.1002/ana.23951