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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77561, first published .
Doctor reviewing Parkinson's disease assessment data on a computer screen

Prompting and Fine-Tuning Large Language Models for Parkinson Disease Diagnosis: Comparative Evaluation Study Using the PPMI Structured Dataset

Prompting and Fine-Tuning Large Language Models for Parkinson Disease Diagnosis: Comparative Evaluation Study Using the PPMI Structured Dataset

Journals

  1. Yeo T, Wang L, Cheong M, Xu X, Shanmugam H, Hew Y, Chiang P, Ang X, Balwan R, Latiff S, Lim S, Fan B, Fan X. From cell images to clinical insight: Clinically grounded explainable classification of peripheral blood and bone marrow cells with cross-modal learning. Artificial Intelligence in Medicine 2027;183:103560 View
  2. Stefanis C, Stavropoulou E, Stavropoulos A, Bezirtzoglou I, Aftzoglou K, Tsigalou C. Are Human and LLM-Generated Observations Statistically Comparable? Rethinking Sampling Units, Variability, and Statistical Inference. AI 2026;7(11):446 View
  3. Bali T, Mokni R, Haoues M. Hybrid Multitask model for longitudinal classification of Parkinson’s Progression and Depression from time series data and LLM-based Report Generation. Procedia Computer Science 2026;292:5006 View
  4. Xin R, Wu C, He Y, Li J, Tian Y. CoDE: A Patient Cohort-Based Study of Evidence Coverage and Support in Diagnostic Explanations Generated by Large Language Models. Bioengineering 2026;13(11):1325 View