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AI/ML issue resolution is fundamentally different from traditional software maintenance, requiring new frameworks to tackle unique challenges like stochastic behavior and artifact coordination.
Throw out the whole image: Pathology-focused visual patches dramatically outperform full images for multimodal radiology summarization.