Fary Khan
Papers
2
Total Citations
33
H-Index
2
About
Dr. Fary Khan is a leading researcher in rehabilitation science, with a focused expertise in leveraging machine learning to transform patient care. Her primary research areas include motor recovery assessment, personalized rehabilitation, and evidence-based practice. Dr. Khan’s major contribution lies in developing novel methods to evaluate rehabilitation progress by identifying key motion features through machine learning algorithms. This work addresses the critical challenge of quantifying patient improvement amidst the inherent variability in human motor recovery, moving beyond subjective observation to data-driven, objective assessment. Her most cited paper, "Evaluating Rehabilitation Progress Using Motion Features Identified by Machine Learning" (2020), has garnered 28 citations, underscoring its influence in the field. This research is foundational for creating personalized treatment plans and advancing evidence-based rehabilitation, enabling clinicians to tailor interventions more effectively. Dr. Khan’s work bridges the gap between computational analysis and clinical practice, offering a scalable solution to improve outcomes for patients undergoing motor rehabilitation. Her achievements highlight a commitment to integrating technology with healthcare, making her a notable figure in the push toward smarter, more responsive rehabilitation strategies.
Research Focus
Key Achievements
Top Papers
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