Biomedical AI research, evaluation methods, benchmarks, validation, safety, source policy, and editorial methodology.
This study aims to develop and evaluate an innovative prehospital emergency transport system for patients with acute ischemic stroke to reduce delays in reperfusion treatment.
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A prospective study evaluates the feasibility and safety of AI-assisted pre-consultation history-taking in outpatient cardiology.
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A Vision Transformer-based model achieved accurate and clinically applicable synovitis grading on musculoskeletal ultrasound, outperforming traditional CNNs in a retrospective study with internal and external validation.
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Trust in clinical AI must be earned through prospective studies in real-world settings.
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Nature Biotechnology, Published online: 10 September 2026; doi:10.1038/s41587-026-03311-0 AI-guided design of complete bacteriophage genomes
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Transfer learning from European cohorts improves prediction in small underrepresented populations but degrades accuracy in larger cohorts.
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GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models, according to Microsoft Research AI.
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Deep learning models applied to breast MRI showed potential for noninvasive TNBC identification with high diagnostic accuracy, but more standardized studies are needed before clinical implementation.
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