A benchmarking dataset and reproducible pipeline have been developed to assess how accurately large language models detect symptoms in clinical conversations. Published in JAMIA Op
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Hospital patient scheduling requires planners to balance staff availability, treatment order, room use and individual requirements while maintaining a workable timetable. A study
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A personal health index based on the International Classification of Functioning, Disability and Health has shown early potential to combine different health measurements into a standardis
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Artificial intelligence could support a shift from treating established illness to detecting early changes before symptoms appear and tissue damage becomes difficult to reverse. A framewor
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Technology-related safety problems in oncology often arise from misalignment between digital systems, clinical workflows and communication rather than from isolated technical fau
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Ambient artificial intelligence scribes are beginning to reshape clinical documentation in primary care, with many users reporting less time spent writing notes and lower mental effort dur
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An image-based instrument recognition system completed simulated postoperative counting tasks faster than manual counting, with identical results under controlled conditions. A randomised
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A voice-based artificial intelligence system completed most pre-procedural calls for patients awaiting cardiac catheterisation while maintaining nurse oversight and high satisfaction among
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A hybrid deep learning model that combines inflammatory biomarkers with routine clinical and pathological information has improved postoperative risk prediction in gastric cancer. The evalu
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Parents frequently voice concerns and treatment preferences during consultations about elective surgery for children, but many of these perspectives do not appear in the medical record. A s
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