As the use of artificial intelligence (AI) in healthcare becomes more pervasive, its application in the clinical care for those with Parkinson's disease (PD) presents exciting opportunities to improve the timeliness and accuracy of diagnosis and to optimize treatment. Perhaps more than many other neurological conditions, PD lends itself to the creation of rich data from which AI can surface actionable insights that hold the potential to revolutionize PD care in a personalized manner. For direct clinical care, AI has the potential to contribute to initial diagnosis, disease subtyping, symptom identification and severity assessment, progression monitoring, and treatment management. With patients and clinicians informing AI and contributing to its methods of deployment, an enormous opportunity exists to open up access to expert-level care to many more people.
William J. Marks (Thu,) studied this question.