Explainable deep learning models for healthcare decision support
Deep learning has recently become a potent tool in healthcare, excelling at tasks like analyzing medical images, diagnosing diseases, and predicting patient outcomes. The research discusses about Deep Learning in Healthcare: Current Applications and Challenges or Interpretable Techniques in Deep Learning along with Performance Evaluation of Deep Learning Models. It has also done Clinical Standards and Decision Support Systems. The 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 interpretivist research philosophy.
Index Terms– Deep learning models AI-driven, Healthcare prediction and modeling, clinical standards, transparency, interpretability, healthcare practitioners
