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  • Medical AI can transform medicine — but only if we carefully . . . - Nature
    In 2024 alone, the citation database PubMed indexed more than 26,000 studies mentioning artificial intelligence (AI), machine learning or deep learning in patient health care and clinical medicine
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    Boston, MA – June 16, 2025 – A newly released study is generating meaningful excitement within the medical community, outlining a possibly transformative approach to addressing a complex health challenge While details remain under embargo pending full publication, preliminary findings suggest a novel intervention could offer a significant benefit to patients currently facing limited
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  • Benefits and Risks of AI in Health Care: Narrative Review
    The risks of AI in health care are listed in Textbox 2 Risks of artificial intelligence (AI) in health care Risks of AI in health care AI diagnosis is not always superior to human diagnosis AI programs may be difficult to understand and overly ambitious Implementation issues Transparency issues and risks with data sharing Biases
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    replacement—for doctors But doctors cannot ignore AI Medical educators must prepare health-care workers for a digitally augmented future Policy makers must work with technology firms, health experts, and governments to ensure that equity remains a priority Above all, the medical community must amplify the urgent call for stringent regulation
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    There are several ways in which AI-based monitoring tools designed to benefit patients and clinicians might be used for clinician surveillance First, ambient AI scribe tools, which transcribe and interpret patient and clinician speech to generate a structured note, have been rapidly adopted with a goal of reducing the burden associated with





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