Published April 23, 2026
| Version v1
Conference paper
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AI-BASED SIMULATION TRAINING, CLINICAL SCENARIOS, AND DIGITAL ASSESSMENT IN OSCE PROCESSES.
Authors/Creators
- 1. Termiz Branch, Tashkent State Medical University Department of Social and Humanitarian Sciences, Associate Professor
- 2. First-year Master's student in Morphology at the Termez branch of the Tashkent Medical University
Description
The integration of artificial intelligence (AI) into simulation-based medical training has transformed traditional approaches to clinical skill development and assessment. This article examines AI-powered simulation platforms that replicate realistic clinical scenarios and enable digital evaluation within Objective Structured Clinical Examinations (OSCE). By employing machine learning algorithms for real-time performance scoring, adaptive scenario generation, natural language processing for patient interaction, and automated feedback mechanisms, AI delivers objective, bias-reduced, and personalized assessment of trainees’ diagnostic, procedural, and communication competencies.
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References
- 1. Mulakoli F. Artificial Intelligence and Medical Education (2013–2024): A Comprehensive Review. PMC. 2025. DOI: (mavjud bo'lsa qo'shiladi). (AI ning tibbiy ta'limdagi simulyatsion trening va avtomatlashtirilgan baholashdagi rolini umumlashtiruvchi sharh). 2. Zouakia Z, et al. AI-Driven Objective Structured Clinical Examination Generation in Digital Health Education: Comparative Analysis of Three GPT-4o Configurations. JMIR Medical Education. 2026;12(1):e82116. (LLM lar yordamida OSCE stansiyalarini yaratish va ularning sifatini baholash tadqiqoti). 3. Lavigne E, et al. AI-Standardized Clinical Examination Training on OSCE Performance. NEJM AI. 2025. DOI: 10.1056/AIoa2500066. (AI asosidagi standartlashtirilgan klinik imtihonning OSCE natijalariga ta'siri).