AI-BASED SIMULATION TRAINING, CLINICAL SCENARIOS, AND DIGITAL ASSESSMENT IN OSCE PROCESSES.

Sahiyeva Matluba; Jo‘rayev Bekzod

Authors

Sahiyeva Matluba Termiz Branch, Tashkent State Medical University Department of Social and Humanitarian Sciences, Associate Professor
Jo‘rayev Bekzod First-year Master's student in Morphology at the Termez branch of the Tashkent Medical University

Keywords:

Artificial Intelligence, Simulation-Based Training, Clinical Scenarios, OSCE, Digital Assessment, Medical Education, Machine Learning, Virtual Patients

Abstract

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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