Interactive AI Model Generates Explainable Lung Cancer Diagnoses from CT Scans

Addresses diagnostic burden for patients unable to undergo invasive biopsies due to other medical conditions, potentially improving outcomes for vulnerable populations.

Every year, lung cancer claims lives that might have been saved by earlier, more certain diagnosis — a burden that falls on radiologists tasked with reading ambiguous shadows in chest scans, often alone with their experience and its limits. A research team at Meijo University in Japan has built an AI system that does not merely render a verdict, but converses: answering a clinician's questions about what it sees in natural language, the way one thoughtful colleague might speak to another. In doing so, they have begun to address one of medicine's quieter crises — not the absence of tools, but t

Interactive AI Model Generates Explainable Lung Cancer Diagnoses from CT Scans

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