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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73212, first published .
Brain scan analysis on a computer monitor in a neuroscience lab

Large Language Models in Neurological Practice: Real-World Study

Large Language Models in Neurological Practice: Real-World Study

Journals

  1. Zarei O, Talebi moghaddam M, Moradi Vastegani S. Machine learning and deep learning in clinical practice: Advancing neurodegenerative disease diagnosis with multimodal markers. Brain Research Bulletin 2026;234:111667 View
  2. Smith A, Vassar R. The Digital Diagnostic Odyssey: Artificial Intelligence and Social Media Crowdsourcing Amid Pediatric Neurology Access Gaps. Annals of the Child Neurology Society 2026;4(1):12 View
  3. Wunsch III D, Hier D. Large language models for neurology: a mini review. Frontiers in Digital Health 2026;7 View
  4. Vozzi C, Sibilla M, Sandri D, Marinato V, Micolonghi G, Oliveri S, Filippi M, Marceglia S, Priori A. Education Research: Bridging the Artificial Intelligence Training Gap. Neurology Education 2026;5(1) View
  5. Khosravi M, Yousefi-Roobiyat M, Asghari Z, Nakhaei M, Khosravi F. Comparison of the performance of ChatGPT-5, Gemini 3, Copilot, Perplexity, and medical students in answering neurology questions: a cross-sectional study. Scientific Reports 2026;16(1) View
  6. Khosravi M, Zamaninasab Z, Mojtabaeian S, Dindar Demiray E, Arab-Zozani M, Shi M. A systematic review of the limitations of large language models in generating healthcare content. PLOS Digital Health 2026;5(4):e0001354 View
  7. Finelli P. Comparison of AI, diagnostic generator, and expert opinion in difficult neurologic diagnosis: real-world case study. Diagnosis 2026 View
  8. van Zanten S, Boel T, de Jong J, Koomen E, Bais B, Dara A, Giele F, Geertsma C, Sutton R, Scheffer M, Groot J, Lange F. Diagnostic performance of artificial intelligence in the syncope unit. Exploration of Cardiology 2026;4 View