Comprehensive review highlights advancements in hybrid AI architectures for better clinical diagnosis accuracy and transparency.
Hybrid Deep Learning and Explainable AI in Medical Imaging: A Comprehensive Review for Reliable Clinical Diagnosis. This work presents a comprehensive review of hybrid CNN–Transformer architectures integrated with Explainable AI (XAI) techniques for improving accuracy, transparency, and reliability in medical image analysis. The study highlights recent advancements, challenges, comparative analysis, and future research directions in AI-driven clinical diagnosis. Additionally, two more research papers related to this domain are currently under development, focusing on advanced medical imaging frameworks and interpretable AI-driven diagnostic systems.
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Mayankeyshwar et al. (2026) studied this question.
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