Enhancing explainability in clinical deep-learning models: Latent-space variable decoding is superior to gradient-weighted class activation mapping
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Background: Deep-learning models designed to assist with clinical decision making abound in cardiology. However, the "black box" nature of these models limits physicians' ability to use them to cross-check clinical gestalt whe... ...
