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

ORIGINAL SOURCE
Originally published in SYNAPSES: INSIGHTS ACROSS THE DISCIPLINES; Vol. 3 No. 4 (2026): SYNAPSES: INSIGHTS ACROSS THE DISCIPLINES; 342-348.

Sahiyeva, Matluba and Jo‘rayev, Bekzod (2026) AI-BASED SIMULATION TRAINING, CLINICAL SCENARIOS, AND DIGITAL ASSESSMENT IN OSCE PROCESSES. SYNAPSES: INSIGHTS ACROSS THE DISCIPLINES; Vol. 3 No. 4 (2026): SYNAPSES: INSIGHTS ACROSS THE DISCIPLINES; 342-348.

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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. 

Item Type: Article
Additional Information: Imported from Synapses: Insights Across the Disciplines
SWORD Depositor: Admin User
Depositing User: Admin User
Date Deposited: 02 Oct 2026 21:10
Last Modified: 02 Oct 2026 21:10
URI: https://universalpublishings.uz/id/eprint/19724

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