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The AI Revolution in Medicine, Revisited: Real-world healthcare AI development and deployment—at scale

Microsoft’s Dr. Matthew Lungren and Epic’s Seth Hain discuss the challenges and opportunities of leveraging generative AI for enhanced patient care and improved clinical documentation and recordkeeping at scale—plus what’s next for the technology in the field.

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  Ideas: Community building, machine learning, and the future of AI

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  Ideas: More AI-resilient biosecurity with the Paraphrase Project

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  Coauthor roundtable: Reflecting on healthcare economics, biomedical resear…

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  Reimagining healthcare delivery and public health with AI

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  Navigating medical education in the era of generative AI

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  AI Testing and Evaluation: Reflections

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  AI Testing and Evaluation: Learnings from cybersecurity

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  How AI will accelerate biomedical research and discovery

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  AI Testing and Evaluation: Learnings from pharmaceuticals and medical devi…

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  AI Testing and Evaluation: Learnings from genome editing

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  AI Testing and Evaluation: Learnings from Science and Industry

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  The AI Revolution in Medicine, Revisited: How AI is reshaping the future o…

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  What AI's impact on individuals means for the health workforce and industry

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  Abstracts: Zero-shot models in single-cell biology with Alex Lu

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  Abstracts: Aurora with Megan Stanley and Wessel Bruinsma

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  Collaborators: Healthcare Innovation to Impact