(Press-News.org) About The Study: In a representative sample of emergency department chest radiographs, results suggest that the generative artificial intelligence (AI) model produced reports of similar clinical accuracy and textual quality to radiologist reports while providing higher textual quality than teleradiologist reports. Implementation of the model in the clinical workflow could enable timely alerts to life-threatening pathology while aiding imaging interpretation and documentation.
Authors: Mozziyar Etemadi, M.D., Ph.D., of Northwestern Medicine Information Services in Chicago, is the corresponding author.
To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/
(doi:10.1001/jamanetworkopen.2023.36100)
Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.
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Generative AI for chest radiograph interpretation in the emergency department
JAMA Network Open
2023-10-05
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[Press-News.org] Generative AI for chest radiograph interpretation in the emergency departmentJAMA Network Open