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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 .
Large Language Models in Neurological Practice: Real-World Study

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 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