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Breast Screening Gaps and Skin Cancer AI Surprise

💡 Why it matters
These findings together highlight that improving cancer outcomes requires both fixing real-world healthcare disparities and critically evaluating AI hype before deploying it in clinical settings.

Research analyzing 86,564 breast cancer cases in England shows ethnic minorities are up to one-third less likely to be diagnosed via routine screening, often instead detected in emergency settings. Separately, a study finds a decade-old CNN model outperforms modern large.

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📡 Where we spotted it (2)
The Guardian
Ethnic minorities in England less likely to get breast cancer diagnosis from routine screening
9h ago
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Hacker News
A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis
3h ago
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🐿️ Keep digging
🧠 OpenAI Halts Live Internet Training for Frontier Models › 🧠 Canva Launches Its First Proprietary Image Generation Model › 🧠 OpenAI Enhances Security for Frontier Model Training ›
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