ArticleFrontiers in digital health2026
ChatGPT-4o with faculty guidance outperforms AI-only and traditional learning in ultrasonography training: a randomized trial.
Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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3 authors.
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Abstract
Background: Ultrasonography training for residents is challenging owing to its operator-dependent nature and difficulties in mastering subtle image interpretation. Multimodal large language models like ChatGPT-4o enable efficient knowledge retrieval but show marked limitations in static ultrasonography image analysis. Methods: In this prospective, single-centre randomized controlled trial, 45 first-year ultrasonography residents were randomly allocated to control (traditional resources), AI-only (ChatGPT-4o exclusively), or blended (ChatGPT-4o plus weekly faculty tutorials) groups. After a 3-week intervention, performance was assessed using a 150-item examination (pure-text and image-based multiple-choice questions). The study was approved by the institutional ethics committee, and written informed consent was obtained. Results: The blended group achieved the highest scores (mean 128.40 ± 18.25) vs. AI-only (119.87 ± 19.11) and control (110.60 ± 20.45; Conclusions: A faculty-guided AI-integrated strategy was associated with improved short-term post-intervention performance compared with AI-only or traditional learning; however, effects reflect the combined intervention and AI support for static ultrasound image interpretation remains limited.
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