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Research questionHow can multimodal medical diagnosis identify informative evidence within each modality without sacrificing accuracy?Multimodal diagnosis combines heterogeneous clinical inputs, while post-hoc explanations may not reveal which evidence within each modality influenced the decision. Making those contributions transparent can conflict with maintaining diagnostic performance.
AI
Health
Machine Learning
Multimodal Models
Research Paper
Latest papersRecent research connected to this question, newest first.SMILE: Self-Explainable Multimodal Information Bottleneck for Medical DiagnosisThe source addresses jointly learned, self-explainable multimodal medical diagnosis and evaluates it on representative datasets spanning heterogeneous modalities. It reports diagnostic and explanation-related results but does not establish clinical deployment performance or specify particular modalities.research paper · Sep 4, 2026
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