This paper is in the following e-collection/theme issue:

Computer-Aided Diagnosis (260) Data Science (364) Generative Language Models Including ChatGPT (745) AI Language Models in Health Care (215) Chronic Conditions (450) Neurology and Neurosciences (292)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77561, first published .
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

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

Authors of this article:

Hyun-Ji Shin1, 2 Author Orcid Image ;   Young Jin Jeong1, 3, 4 Author Orcid Image ;   Sungmin Jun2, 3, 4 Author Orcid Image ;   Do-Young Kang1, 3, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Hyun-Ji Shin   1, 2 , MSc ;   Young Jin Jeong   1, 3, 4 , MD, PhD ;   Sungmin Jun   2, 3, 4 , MD, PhD ;   Do-Young Kang   1, 3, 4 , MD, PhD

1 Department of Data Sciences Convergence, Graduate School, Dong-A University, Busan, Republic of Korea

2 Institute of Convergence Bio-Health, Dong-A University, Busan, Republic of Korea

3 Department of Nuclear Medicine, College of Medicine, Dong-A University, Busan, Republic of Korea

4 Department of Nuclear Medicine, Dong-A University Hospital, Busan, Republic of Korea

Corresponding Author:

  • Do-Young Kang, MD, PhD
  • Department of Nuclear Medicine
  • College of Medicine
  • Dong-A University
  • 26, Daesingongwon-ro, Seo-gu
  • Busan 49201
  • Republic of Korea
  • Phone: 82 -51-240-5630
  • Email: dykang@dau.ac.kr