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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A Harvard Business Review analysis identified therapy and companionship as the top reasons people use generative AI tools, ahead of productivity. (AI companion apps have also drawn public and regulatory scrutiny in both the U.S. and China, with the latter now considering rules that would require human operators to step in during extreme circumstances.)。PDF资料对此有专业解读