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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If there are Business-Modules with complex logic, each of them should have a dedicated, independent suite of Sociable Unit Tests. Thanks to the Dependency Inversion Principle (DIP) between BMs and Infrastructure-Modules, this kind of test will be easy to write. The more complex the logic, the bigger Return-on-Investment the tests will yield. If you don’t know what “Sociable Unit Tests” mean, please read on.。safew官方版本下载是该领域的重要参考
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