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The AI Revolution in Medicine, Revisited: Laws, norms, and ethics for AI in health

Healthcare experts Laura Adams, Vardit Ravitsky, and Dr. Roxana Daneshjou discuss responsible AI implementation in medicine, examining governance approaches, shifting patient-provider relationships, and the identification of bias to ensure equitable deployment.

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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