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Minnesota Department of Health

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Patients’ Trust in Health Systems to Use Artificial Intelligence

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How Academic Medical Centers Govern AI Prediction Tools in the Context of Uncertainty and Evolving Regulation

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Investigating the impact of trial retractions on the healthcare evidence ecosystem (VITALITY Study I): retrospective cohort study

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Public Attitudes Toward Notification of Use of Artificial Intelligence in Health Care

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Impact of Different Approaches to Preparing Notes for Analysis With Natural Language Processing on the Performance of Prediction Models in Intensive Care

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Public comfort with the use of ChatGPT and expectations for healthcare

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Benchmarking of Large Language Models for the Dental Admission Test

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Uptake of Generative AI Integrated With Electronic Health Records in US Hospitals

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The urgency of centering safety-net organizations in AI governance

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Validating a novel measure for assessing patient openness and concerns about using artificial intelligence in healthcare

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MTLNFM: A Multi-Task Framework Using Neural Factorization Machines to Predict Patient Clinical Outcomes

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The Missing Dimension in Clinical AI: Making Hidden Values Visible

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Using Machine Learning Methods to Examine Turnover Rates in State Health Agencies

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Building Trust: Public Priorities for Health Care AI Labeling

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