What does this research mean for the field?

AI-assisted training, particularly vision-based deep learning, significantly improves surgical and invasive procedural skills in clinical simulation compared to traditional instruction, but offers no advantage for clinical assessment and diagnostic skills. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To assess the comparative effectiveness of artificial intelligence-assisted simulation training versus traditional instruction on clinical skills performance, procedural duration, and learner outcomes.

August 24, 2026Frontiers in MedicineOpen Access

Comparison of artificial intelligence assisted training and traditional learning paths in clinical simulation skills training: meta-analysis of randomized controlled trials

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Authors

SCSihan CheNortheast Electric Power University HZHuan ZhaoCentral South University TLTianlin LuSichuan University

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Implication

Meta-analysis reveals enhanced procedural skill performance with AI-assisted clinical simulation training over traditional instruction, highlighting the utility of vision-based deep learning.

Key Points

To assess the comparative effectiveness of artificial intelligence-assisted simulation training versus traditional instruction on clinical skills performance, procedural duration, and learner outcomes.
Searched PubMed, Embase, and Web of Science from inception through April 10, 2026, for randomized controlled trials comparing AI-assisted simulation training with traditional learning approaches.
Included 12 RCTs examining AI modalities such as real-time feedback, intelligent tutoring, AI-simulated patients, and image recognition against expert-led, self-directed, or role-play instruction.
Calculated standardized mean differences (SMD) with 95% confidence intervals (CI) using fixed- or random-effects models based on heterogeneity (PROSPERO CRD420261411402).
AI-assisted training significantly improved overall clinical skills scores compared to traditional instruction, with significant gains specifically observed for surgical and invasive procedural skills and vision-based deep-learning models.
AI-assisted training showed no significant difference compared to traditional instruction for clinical assessment and diagnostic skills, or when using large language model interventions.
Procedure times and operation completion rates did not differ significantly between groups, though learner satisfaction, recommendation willingness, and stress levels were higher with AI assistance.

Cite This Study

Che et al. (2026) studied this question.

synapsesocial.com/papers/6a8c005bbca056c88e6df1b0 https://doi.org/10.3389/fmed.2026.1915528

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Implication

Meta-analysis reveals enhanced procedural skill performance with AI-assisted clinical simulation training over traditional instruction, highlighting the utility of vision-based deep learning.

Comparison of artificial intelligence assisted training and traditional learning paths in clinical simulation skills training: meta-analysis of randomized controlled trials

Discussion

Member takes

Implication

Key Points

Cite This Study

Comparison of artificial intelligence assisted training and traditional learning paths in clinical simulation skills training: meta-analysis of randomized controlled trials

Discussion

Member takes

Implication

Key Points

Cite This Study

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