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Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73196, first published .
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Virtual Standardized Patients for Improving Clinical Thinking Ability Training in Residents: Randomized Controlled Trial

Virtual Standardized Patients for Improving Clinical Thinking Ability Training in Residents: Randomized Controlled Trial

Journals

  1. Shvarts Y, Akimova N, Konshina L, Parkhoniuk E. What and how should cardiologists learn in the era of artificial intelligence? Opinion on a problem. Russian Journal of Cardiology 2026;31(2S):6903 View
  2. Xiao M, Lei Z, Gao Y, Wang Y, Shi S. A study of the effectiveness of the CBL combined with SP in the standardized training of general medicine residents. Frontiers in Medicine 2026;13 View
  3. Zhu W, Zhang Y, She K, Chen J. Artificial intelligence-driven intelligentization of traditional Chinese medicine diagnosis: Applications, challenges, and prospects of multimodal fusion and large language model. Journal of Traditional Chinese Medical Sciences 2026;13(3):291 View
  4. Haut K, Hasan M, Carroll T, Epstein R, Sen T, Hoque E. The Effects of Generative AI Virtual Patient in Serious Illness Communication Skills: Randomized Controlled Trial (Preprint). JMIR Medical Education 2026 View
  5. Piscitelli E, Jose J, Ahmed E, Jose R, Toma M, Stout R, Yao S. A Feasibility and Acceptability Study of Virtual Reality-Based Training for Thoracic Spine Assessment: First-Year Osteopathic Medical Student Perceptions and Motivational Responses. Eng 2026;7(8):399 View