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Radiology societies address AI implementation in medical imaging

In a collaborative effort aimed at providing comprehensive insights into the integration of Artificial Intelligence (AI) in radiology, five leading radiology societies have published a joint paper addressing the potential challenges and ethical concerns related to this new technology.

Words We All Wanted to Hear: RSNA is Back | Imaging Technology News

Words We All Wanted to Hear: RSNA is Back | Imaging Technology News
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One on One with Curtis P Langlotz, MD, PhD

Stanford University Professor of Radiology, Medicine and Biomedical Data Science; Director of the Center for Artificial Intelligence in Medicine and  Imaging (AIMI Center); Associate Director of Stanford’s Institute for Human-Centered Artificial Intelligence (HAI); and Associate Chair for Information Systems, Medical Informatics Director for Stanford Health Care  

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