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

Training Tools for Medical Students (144) Natural Language Processing (809) Simulation (138) Machine Learning (1769)

Published on in Vol 8, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24372, first published .
Learning Analytics Applied to Clinical Diagnostic Reasoning Using a Natural Language Processing–Based Virtual Patient Simulator: Case Study

Learning Analytics Applied to Clinical Diagnostic Reasoning Using a Natural Language Processing–Based Virtual Patient Simulator: Case Study

Learning Analytics Applied to Clinical Diagnostic Reasoning Using a Natural Language Processing–Based Virtual Patient Simulator: Case Study

Authors of this article:

Raffaello Furlan1, 2 Author Orcid Image ;   Mauro Gatti3 Author Orcid Image ;   Roberto Mene4 Author Orcid Image ;   Dana Shiffer1 Author Orcid Image ;   Chiara Marchiori5 Author Orcid Image ;   Alessandro Giaj Levra1 Author Orcid Image ;   Vincenzo Saturnino3 Author Orcid Image ;   Enrico Brunetta1, 2 Author Orcid Image ;   Franca Dipaola1, 2 Author Orcid Image
Article Authors Cited by (9) Tweetations (8) Metrics

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  1. Kamath A, Ullal S. Learning and clinical reasoning experience of second-year medical pharmacology students and teachers with virtual patients developed using OpenLabyrinth. Electronic Journal of General Medicine 2023;20(5):em509 View
  2. Lippitsch A, Steglich J, Ludwig C, Kellner J, Hempel L, Stoevesandt D, Thews O. Development and evaluation of a software system for medical students to teach and practice anamnestic interviews with virtual patient avatars. Computer Methods and Programs in Biomedicine 2024;244:107964 View
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  4. Horta L, Ho D, Lau K. Using Learning Analytics to Evaluate the Clinical Education Podcast Format. Medical Science Educator 2024;34(3):531 View
  5. Dipaola F, Gebska M, Gatti M, Levra A, Parker W, Menè R, Lee S, Costantino G, Barsotti E, Shiffer D, Johnston S, Sutton R, Olshansky B, Furlan R. Will Artificial Intelligence Be “Better” Than Humans in the Management of Syncope?. JACC: Advances 2024;3(9):101072 View
  6. Loomis M, Quinones-Rodriguez J, Wackerly R, Spears K, Loomis T. Integrating Clinical Reasoning Into Medical Students’ First Weeks of Education Improves Understanding of Cranial Nerve Anatomy. Cureus 2024 View
  7. ELSenbawy O, Patel K, Wannakuwatte R, Thota A. Use of generative large language models for patient education on common surgical conditions: a comparative analysis between ChatGPT and Google Gemini. Updates in Surgery 2025 View
  8. Yao M, Huang L, Leventhal E, Sun C, Stephen S, Liou L. Leveraging Datathons to Teach AI in Undergraduate Medical Education: Case Study. JMIR Medical Education 2025;11:e63602 View
  9. Costa-Dookhan K, Adirim Z, Maslej M, Donner K, Rodak T, Soklaridis S, Sockalingam S, Thakur A. Applications of Artificial Intelligence for Nonpsychomotor Skills Training in Health Professions Education: A Scoping Review. Academic Medicine 2025;100(5):635 View