April 2, 2026

@michaelokun

AI meets Parkinson’s: can smarter data lead to smarter care? Artificial intelligence refers to computer systems that can learn from data and make decisions or predictions similar to human thinking. Marks describes in a new paper in the Journal of Parkinson’s Disease how AI may transform diagnosis, monitoring and treatment for Parkinson’s disease. Key Points: - AI can improve diagnostic accuracy by analyzing brain scans, movement data, voice and facial features, and may even detect Parkinson’s years before symptoms are recognized. - Wearables, smartphones and environmental sensors enable continuous real world monitoring of tremor, gait and fluctuations, generating objective data beyond clinic visits. - AI can support treatment decisions by identifying patterns in symptoms, guiding medication timing and dosing, and helping select and optimize advanced therapies. My take: This paper highlights a shift from episodic care to continuous care. Parkinson’s disease generates rich data and AI may help translate that data into meaningful, personalized insights. We must however, ensure trust and transparency. We must keep health care providers in the loop as we move forward. Here are 5 points that resonated w/ me: 1- Diagnosis may become earlier and more accurate, potentially even before symptoms clearly emerge. 2- Continuous monitoring using wearables could replace snapshots from clinic visits and better reflect daily life. 3- AI may help tailor treatments to each individual by recognizing patterns in symptoms and response. 4- Access to expert level care could expand to many more folks through data driven tools and remote care models. 5- Trust, privacy and keeping health care providers involved will be essential to ensure AI improves care rather than complicates it. https://journals.sagepub.com/doi/full/10.1177/1877718X261436962 #michaelokun #fixelinstitute #parkinson