TL;DR
Findings from this pilot feasibility study show the promise of AI-based simulation training for enhancing CSD skills, and support its continued development.
Internal Medicine residents routinely lead rapid medical response teams (RMRTs) at training hospitals, often reporting discomfort in this role. To address this issue, we developed a longitudinal, multidisciplinary, simulation-based curriculum aimed at enhancing RMRT functioning while boosting the confidence and k...
Background Artificial intelligence (AI) is increasingly integrated into clinical simulation training, yet its overall effectiveness compared to traditional learning remains unclear. This meta-analysis of randomized controlled trials (RCTs) aimed to evaluate the impact of AI-assisted training versus traditional instruct...
INTRODUCTION Combat Medical Technicians (CMTs) are central to military primary care but have limited opportunity for clinical exposure. Simulated patients offer a controlled method to maintain clinical currency. Advances in conversational artificial intelligence (AI) enable realistic and interactive simulated consultat...
This blinded, cross-sectional survey-based study, performed at Loma Linda University Internal Medicine Residency Program, evaluated resident perceptions of educator-generated versus AI-enhanced feedback. Fifty-six resident evaluations were distributed, and 50 residents (89%) completed the survey. AI-enhanced feedback,...
Background Conventional training models for diabetic retinopathy (DR) inadequately address the dynamic decision-making demands required for diagnostic reasoning standardization among junior ophthalmologists. Objective To evaluate whether AI-driven simulation integrated with virtual DR case training is associated with g...
Introduction Clinical simulation training is widely used to improve procedural proficiency and patient safety; however, the relative effectiveness of different training schedules remains uncertain. This study compared clinical competence outcomes associated with short-term intensive and prolonged distributed simulation...
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