New Safety Framework Adapts Medical Failure Analysis to Clinical Language Models
A methodological pilot study has adapted Failure Mode, Effects, and Criticality Analysis into a 14-mode framework to identify patient safety ...
A methodological pilot study has adapted Failure Mode, Effects, and Criticality Analysis into a 14-mode framework to identify patient safety ...
A multicenter study of 1,091 participants found that combining voice recordings with standard cognitive screening scores improves deep learning detection ...
A comprehensive review of 68 studies reveals federated learning matches centralized cancer imaging accuracy while preserving patient confidentiality across eleven ...
A controlled experimental study reveals that healthcare users place greater trust in generative AI when it explains established diagnoses rather ...
A commentary in Diagnostic and Prognostic Research finds that while large language models show promise for multimodal health records, critical ...
In a source-masked benchmark evaluating 100 urological oncology vignettes, three consumer-facing large language models trailed early-career urologists in primary composite ...
A comparative policy review finds China's static pre-market approval system poorly matched to continuously learning medical AI and draws on ...
A new Perspective proposes VERSION-AI, a two-axis framework for deciding when updates to medical AI systems require renewed clinical evidence.
A lightweight CNN combining directional texture information with original CT images improved COVID-19 infection segmentation in a computational study of ...
A review of 2019–2025 research finds that transformer models show promise for lung cancer detection and classification, but variable validation ...
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© 2026 Scienmag - Science Magazine