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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72062, first published .
Large Language Models in Medical Diagnostics: Scoping Review With Bibliometric Analysis

Large Language Models in Medical Diagnostics: Scoping Review With Bibliometric Analysis

Large Language Models in Medical Diagnostics: Scoping Review With Bibliometric Analysis

Journals

  1. Belkhouribchia J, Pen J. Large language models in clinical nutrition: an overview of its applications, capabilities, limitations, and potential future prospects. Frontiers in Nutrition 2025;12 View
  2. Güldiken İ, Dilaver E. Evaluation of ChatGPT-4.5 and DeepSeek-V3-R1 in answering patient-centered questions about orthognathic surgery: a comparative study across two languages. Northwestern Medical Journal 2025;5(4):209 View
  3. Schnegg-Kaufmann A, Bacher U, Rovó A, Andres M, Wiedemann G, Porret N, Moshaver B, Kaufmann N, Tchinda J, Meyer S, Angelillo-Scherrer A. Artificial Intelligence in Haematologic Diagnostics: Current Applications and Future Perspectives. Acta Haematologica 2025:1 View
  4. Abou-Bakr A, El Barbary A, Hassanein F. ChatGPT-5 vs oral medicine experts for rank-based differential diagnosis of oral lesions: a prospective, biopsy-validated comparison. Odontology 2025 View
  5. Peltonen L, Topaz M, Zhang Z. From Research to Practice in Days, not Decades: Why Leaders Must Act now. Journal of Medical Systems 2025;49(1) View
  6. Njenga K, Macheka R. AI Hallucinations in Information Security: A Bibliometric and Grounded Study Perspective. Journal of Information Security and Cybercrimes Research 2025;8(2):129 View
  7. Beiriger J, Estephan L, Campbell D, Dhillon V, Goldenberg D, Noel J, Orloff L, Russell M, Russell J, Sinclair C, Cottrill E. Evaluating Artificial Intelligence Chatbots for Patient Education on Thyroid Radiofrequency Ablation: An Analysis of Accuracy, Quality, and Readability. Thyroid® 2026;36(2):162 View
  8. Tsakiridi A, Tsimpida D, Walker D, Hezarkhani B, Alwan N. Who buys ugly produce? A systematic scoping review and bibliometric analysis of intersectional consumer patterns towards sustainable food purchasing. Strategic Business Research 2026;2(1):100063 View
  9. Jiang Z, Chen H, Wu Y, Qin Y, Pei C, Zeng D, Sheng B, Wong T. Beyond multiple-choice questions: Rethinking evaluation frameworks for large language models for clinical medicine. Intelligent Medicine 2026 View
  10. Cheema M, Nazir A, Harmanci A, Harmanci A, Cheema Y, Masood S, Khokhar F. Large language models in radiogenomics: a comprehensive survey of applications from imaging to genetics. The Visual Computer 2026;42(4) View
  11. Tang W, Chen R, Long X, Yu D, Zhao S, Chen B. Medical large language models and systems in the clinical application of spinal diseases: Current status, challenges, and future prospects. Journal of Orthopaedic Translation 2026;57:101050 View
  12. Es’haghi A, Aliyariparand M, Jamalipour Soufi K, Aghaei H. Accuracy and completeness of large language models in Epidemic keratoconjunctivitis Queries: A Comparative study. International Journal of Medical Informatics 2026;213:106363 View
  13. Altunisik E, Ekmekyapar Firat Y, Cengiz E, Comruk G. From GPT-3.5 to GPT-5.2: a paired longitudinal evaluation of large language models in clinical neurology. Neurological Research 2026;48(4):522 View
  14. Jamil S, Saha S, Misra R. Enhancing adverse drug event extraction and summarization for cancer drugs through large language models. Journal of Biomedical Informatics 2026;178:105009 View
  15. Santarelli V, Lombardo R, Romagnoli M, Sequi M, Coppola L, Rosato E, De Cillis S, Checcucci E, Amparore D, Ragonese M, Foschi N, Spatafora P, Tema G, Nacchia A, Cicione A, Franco A, Pastore A, Al Salhi Y, Gallo G, Pagliarulo V, Rocco B, Gacci M, Fiori C, Finazzi Agro E, Sciarra A, Del Giudice F, Tubaro A, De Nunzio C. Accuracy, readability, and understandability of European Association of Urology guidelines bot for Sexual and Reproductive Health Guidelines. The Journal of Sexual Medicine 2026;23(4) View
  16. Luo W, Feng T, Zhang T, Chen X, Lu X, Li Y, Hou C, Gao J. Attitudes and perceptions of the application of large language models among health professionals: A mixed-methods systematic review. Public Health 2026;254:106252 View
  17. Beste N, Dratsch T, Kottlors J, Floßdrof P, Konitsioti A, Volz L, Hanning U, Pinto dos Santos D, Goertz L, Zopfs D, Kabbasch C, Schlamann M, Laukamp K, Schönfeld M. Symptom-Only Localization of Brainstem Ischemia: Large Language Models vs. Neurologists in 109 Diffusion-Weighted Imaging–Positive Cases: A Retrospective Study (Preprint). JMIR Formative Research 2025 View
  18. Alshammari A, Madfa A, Anazi B. Human versus artificial intelligence in oral pathology diagnosis: a comparative study of ChatGPT, Grok, and MANUS. Scientific Reports 2026;16(1) View

Books/Policy Documents

  1. Essafi H. Flexible Query Answering Systems. View

Conference Proceedings

  1. Umucu E, Solis G, Garza L, Rivas E, Lee B, Kotal A, Piplai A. 2025 IEEE International Conference on Big Data (BigData). Empathy by Design: Aligning Large Language Models for Healthcare Dialogue View