One Model, 146 Diagnoses

Alibaba's DAMO Academy released Damo Radar, a vision-language model covering 146 abdominal conditions across 18 organs in contrast-enhanced CT, achieving AUC 0.913 across all findings in 40,000 real-world exams. The work appeared in *Science* and is fully open-sourced on GitHub and HuggingFace.

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Ontario's AI Scribe Problem Is a Procurement Problem

Ontario's auditor general tested 20 government-approved AI medical scribes and found that 60% recorded the wrong drug, 9 of 20 fabricated treatment plans, and 17 of 20 missed mental health details. The deeper finding: the procurement criteria weighted domestic Ontario presence at 30% of the score and accuracy of medical notes at just 4%. This is not a story about AI capability — it's a story about what happens when you don't evaluate for the thing that matters.

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