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Integration of AI decision aids to reduce workload and enhance efficiency in thyroid nodule management

JAMA Network Open

2023-05-16
(Press-News.org)

About The Study: The results of this diagnostic study involving 16 radiologists and 2,054 ultrasonographic images suggest that an optimized artificial intelligence (AI) strategy in thyroid nodule management may reduce diagnostic time-based costs without sacrificing diagnostic accuracy for senior radiologists, while the traditional all-AI strategy may still be more beneficial for junior radiologists. 

Authors: Wei Wang, M.D., Ph.D., of Sun Yat-sen University in Guangzhou, China, 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.2023.13674)

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.

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time http://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2023.13674?utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_term=051623

 

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[Press-News.org] Integration of AI decision aids to reduce workload and enhance efficiency in thyroid nodule management
JAMA Network Open