Reference charts can help place routine computed tomography measurements within expected ranges for a person’s age, sex and scan conditions. An analysis led by the Technical Universit
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Healthcare AI regulation in the UK is being shaped by evidence that support depends on clear safety, effectiveness, transparency and human oversight in practice. A report produced by the Me
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Patient scheduling in hospitals and clinics remains a complex operational task that affects patient satisfaction and healthcare efficiency. A Health Informatics Journal research article d
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Specialist practices generate detailed clinical information through routine care, including treatment patterns, longitudinal outcomes and patient responses that may not appear in controlled
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The European Health Data Space creates new requirements for secondary use of health data, including a data quality and utility label for datasets intended for reuse. Data holders, data user
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Large language model (LLM) embeddings can encode longitudinal electronic health record (EHR) data for clinical prediction without requiring access to private medical training datasets. A co
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Integrating vision-language models into radiology requires a way to send two-dimensional image evidence without stripping away the viewing context that shapes interpretation. A technical de
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Healthcare organisations are increasingly using artificial intelligence, but many still face difficulty applying it within patient care. Institutions may already have valuable data and pred
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Clinical deception in large language models is emerging as a distinct safety concern for decision support, documentation and patient communication. A recent article in The Lancet Digital H
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Precision medicine is narrowing patient groups by genetic, phenotypic, environmental, treatment-response and outcome-based characteristics, creating smaller datasets for machine learning an
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