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Will Generative AI Tools Improve Access to Reliable Health Information? | Health Disparities | JAMA

This Medical News article is an interview with JAMA Editor in Chief Kirsten Bibbins-Domingo and Virologist Davey Smith, head of the Division of Infectious

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Model Medicines Unveils Groundbreaking AI Drug Discovery Advances in New Chemistry and New Biology with Two New Preprint Papers

Paper calls for patient-first regulation of A

<p>A new paper in JAMA describes how, despite widespread enthusiasm about artificial intelligence&#39;s potential to revolutionize healthcare and the use of AI-powered tools on millions of patients already, no federal regulations require that AI-powered tools be evaluated for potential harm or benefit to patients.&nbsp;</p>

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Regulate Artificial Intelligence in Health Care by Prioritizing Patient Outcomes | Regulatory Agencies | JAMA

This Viewpoint argues for a shift in focus by the White House executive order on artificial intelligence from regulatory targets to patient outcomes.

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Artificial Intelligence in Oncology Market to Hit $9.16 Billion by 2031, Per New Report

  Artificial intelligence in oncology uses deep learning algorithms to analyze medical images and genomic data to detect cancer at an early stage, predict patient outcomes, and personalize treatment plans. It helps radiologists in diagnosing cancer accurately by analyzing medical images.

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