Fall risk prediction in Parkinson's disease using longitudinal cohorts and clinically grounded modeling.
Advancing access to expert Parkinson's care through clinically useful AI.
I am a movement disorders neurologist developing clinically deployable, data-informed tools that improve diagnosis, risk stratification, and neurological decision-making beyond specialty centers.
Research Themes
Clinical bioinformatics and natural language processing to extract meaningful outcomes from electronic health records.
Technology-enabled and patient-centered outcome measurement in movement disorders.
Selected Talks
Selected Publications
Virameteekul S, Shin C, Hirczy SS, et al; MDS Technology Study Group. Assessing Digital Health Technologies for Outcome Measurement in Parkinson's Disease Drug Trials: A Systematic Review.
Vizcarra JA, Casey HL, Hamedani AG, Gomez CM. Reliability of remote video ratings of the scale for assessment and rating of ataxia.
Vizcarra JA, Yarlagadda S, Xie K, Ellis CA, Spindler M, Hammer LH. Artificial Intelligence in the Diagnosis and Quantitative Phenotyping of Hyperkinetic Movement Disorders: A Systematic Review.
Sturchio A, Rocha EM, Kauffman MA, et al. Recalibrating the Why and Whom of Animal Models in Parkinson Disease: A Clinician's Perspective.
Vizcarra JA, Paul RA, Hamedani AG, Lynch D, Aamodt WW. Clinical Reasoning: A 48-Year-Old Man with Spasticity and Progressive Ataxia.
Recent Writing