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AI 识别医学死亡风险

来源: twitter关注列表
作者: Marc Andreessen 🇺🇸 (@pmarca)
发布于: 2026-06-26
收录于: 2026-06-27
AI 推荐理由
提供具体的 300‑400,000 大规模死亡数据,首次将 AI 用于指导除颤器植入决策
核心解读
Ziad Obermeyer 团队在 Nature 发表论文,使用 AI 标记高危死亡风险并辅助决定植入除频器。研究指出美国每年有 300‑400,000 人因未及时治疗而死亡。
全文
Marc Andreessen 🇺🇸 (@pmarca) 转发了 Ziad Obermeyer (@oziadias) 的帖子: AI can help us *do* useful things in medicine – great! Below - one such thing, from our @nature paper: - AI can flag people at high risk of dropping dead - and help us decide who gets implanted defibrillators But what can we *learn* from AI? https://x.com/oziadias/status/2070474367213903923?s=20 > **引用原帖 Ziad Obermeyer (@oziadias):** > My friend the brilliant @kevin_volpp dropped dead > He survived (read abt it: https://t.co/UdybYJbUBr) > But every year 300-400,000 in the US don't > This week: our @nature article (+A.Schubert J.Ross @m_sendhil M.Lingman) applies AI to this medical mystery > https://t.co/TEwYLpLtjD https://t.co/L3pNl1OSyz > https://x.com/oziadias/status/2070474367213903923
#技术突破#研究