Operating room efficiency in emergency surgery depends on how preparation, anaesthesia and surgery are timed and coordinated. An analysis of emergency surgical activity at Chongqing Emergen
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Electronic health record-based algorithms are being used to identify patients with high palliative care needs and trigger earlier action. Across seven randomised trials involving 125,666 pa
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A nationwide survey published in BMJ Health Care Informatics examined expectations for medical artificial intelligence performance among physicians and the general population in Sweden. T
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A large language model built from structured electronic health records showed consistent predictive performance across multiple clinical tasks and external health systems. The framework use
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A recent analysis published in BMC Medical Informatics and Decision Making reports the development and external validation of a machine learning model designed to predict chronic critical
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Digital twin technology is reshaping radiology and radiotherapy, though progress differs across the two fields. A review in the European Journal of Radiology describes how virtual models
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Large language models improve the readability of radiology reports, while age and education continue to shape how well patients understand them. Recent research showed a growing challenge i
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A systematic review published in BMC Medical Informatics and Decision Making evaluated the integration of blockchain technology into electronic health record systems, focusing on security
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Quantitative magnetic resonance imaging enables the mapping of tissue relaxation times and proton density, offering objective parameters to support clinical assessment. Synthetic MRI allows
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Artificial intelligence has automated parts of scientific work for years, but not the full research cycle. The AI Scientist is an AI system that generates research ideas, runs experiments,
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