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Journal of Medical Artificial Intelligence

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Can AI help with peer review in transplantation research?

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Ambient artificial intelligence scribes in the emergency department

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Background: Nurse-led triage in emergency departments (EDs) is critical for prioritizing care but remains prone to mistriage. While artificial intelligence (AI)-enabled Clinical Decision Support Systems (CDSS) aim to reduce this variability, their real-world integration into nursing workflows and impact on clinical outcomes remain poorly defined. This scoping...


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Background: Clinical documentation represents a major source of inefficiency in outpatient care. While artificial intelligence (AI) has advanced image-based diagnostics in ophthalmology, workflow-integrated applications targeting the documentation burden remain largely unexplored. Large language models (LLMs) offer new opportunities for automating structured ...


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Background: Bibliometrics is a quantitative assessment that uses mathematical and statistical methods to evaluate the contribution of scientific literature. In recent years, the application of artificial intelligence (AI) in medical imaging has received extensive attention, while the research hotspots, patterns and trends have not yet been clarified. Multiple...


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