Abstract

Deep learning has recently become a potent tool in healthcare, excelling at tasks like analyzing medical images, diagnosing diseases, and predicting patient outcomes. The Second Chapter's Literature Review explained Deep Learning in Healthcare: Current Applications and Challenges or Interpretable Techniques in Deep Learning along with Performance Evaluation of Deep Learning Models in Healthcare. It has also done Clinical Standards and Decision Support Systems. The Third Chapter Methodology discusses comprehending the subjective perceptions and interpretations of healthcare professionals regarding Explainable Deep Learning Models (EDLMs) in clinical decision-making, this study employs an interpretive research philosophy

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