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Deep Learning 2025-03-29

Explainable AI in Radiology

Research into interpretable AI methods for radiology, focusing on attention visualization, saliency mapping, and confidence calibration that enable radiologists to understand and trust AI-generated findings in clinical workflows.

5C Network Research Team · arXiv · DOI: 10.48550/arXiv.2503.14536

Key Findings

  • Attention visualization reveals which image regions drive AI diagnostic predictions, building radiologist trust
  • Vision-language model outputs provide natural language explanations alongside quantitative confidence scores
  • Multimodal reasoning over imaging and clinical history produces more interpretable diagnostic rationale
  • Framework applied to chronic tuberculosis diagnostics demonstrates how explainability improves clinical adoption
Read Full Paper on arXiv

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