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To meet the growing demand for radiology artificial-intelligence tools, a 3D vision–language model called Merlin was trained on abdominal computed-tomography scans, radiology reports and electronic health records. Merlin demonstrated stronger off-the-shelf performance than did other vision–language models across three hospital sites distinct from the initial training centre, highlighting its potential for broader clinical adoption.
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在这一背景下，Reliable 5-day, 3-hourly forecasts of aerosol optical components and surface concentrations are obtained in 1 minute using a machine-learning-driven forecasting system.
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