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Article Synopsis
  • Modern AI solutions struggle with the "black box" nature of deep learning models, particularly in critical medical applications where transparency is essential.
  • This study introduces a scalable method using a transition matrix to make deep learning model decisions more interpretable, integrating clinical guidelines and expert rules to ensure alignment with medical standards.
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