Purvi L Jadhwani
Papers
1
Total Citations
7
H-Index
1
About
Purvi L. Jadhwani is a researcher at the forefront of applying artificial intelligence to neurological rehabilitation, with a primary focus on Parkinson’s disease. Her work centers on leveraging AI and machine learning to analyze gait patterns, enabling more precise evaluation and personalized rehabilitation strategies for patients with movement disorders. Her most cited paper, “A Review of Artificial Intelligence-Based Gait Evaluation and Rehabilitation in Parkinson’s Disease” (2023), has already garnered 7 citations, reflecting its timely contribution to the intersection of neurology and computational health. Jadhwani’s research addresses the progressive motor and non-motor symptoms of Parkinson’s, offering non-invasive, data-driven tools to improve quality of life. By synthesizing advances in sensor technology and AI algorithms, she has helped pave the way for remote monitoring and adaptive therapy systems. Her work is particularly notable for its potential to transform clinical practice, moving from subjective observation to objective, continuous assessment. As an emerging voice in digital health, Jadhwani’s contributions are shaping the future of neurorehabilitation, making her research essential reading for students and clinicians interested in AI-driven approaches to chronic disease management.
Research Focus
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Top Papers
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