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PhysiCase: Development and dual-layer validation of synthetic cases for health professional education: A pilot study leveraging Generative AI

2026-06-09

Abstract excerpt

High-quality, domain-specific datasets are foundational to advancing educational tools and AI systems in healthcare, yet assembling case repositories from real-world clinical records faces substantial privacy, ethical, and licensing barriers. Synthetic data generation offers a compelling pathway forward, but educational cases require rigorous validation to ensure clinical plausibility and pedagogical utility. This...

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Literature Corpus work
ef338724-f978-5535-b4e7-d228f4416e7c
DOI
10.64898/2026.06.07.26355114
Open publication

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