What this topic covers
This topic includes machine learning models, clinical decision support, real-world validation, bias, interpretability, deployment, regulation, and outcomes research.
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Recent AI in Medicine Papers
Browse AI in medicine papers covering clinical prediction, medical imaging, workflow support, validation, implementation, model safety, and health-care evaluation.
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Start with AI in medicine, then refine by clinical area, modality, validation study, medical imaging, electronic health records, or implementation setting.
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What makes a paper high signal?
External validation, prospective evaluation, clinical utility, safety analysis, and workflow impact are stronger signals than model performance alone.
Which sources help?
PubMed is useful for clinical validation, while arXiv often surfaces new modeling methods before clinical evaluation is complete.