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AI–guided lung ultrasound by nonexperts

01.15.25 | JAMA Network

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About The Study: In this multicenter validation study, trained health care professionals with artificial intelligence (AI) assistance achieved lung ultrasound images meeting diagnostic standards compared with lung ultrasound experts without AI. This technology could extend access to lung ultrasound to underserved areas lacking expert personnel.

Corresponding Author: To contact the corresponding author, Cristiana Baloescu, MD, MPH, email cristiana.baloescu@yale.edu .

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamacardio.2024.4991)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflicts 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 https://jamanetwork.com/journals/jamacardiology/fullarticle/10.1001/jamacardio.2024.4991?guestAccessKey=8495492c-8bac-43ab-aa4d-d87701873ae9&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=011525

JAMA Cardiology

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Contact Information

Jim Michalski
JAMA Network
Jim.Michalski@jamanetwork.org

How to Cite This Article

APA:
JAMA Network. (2025, January 15). AI–guided lung ultrasound by nonexperts. Brightsurf News. https://www.brightsurf.com/news/1EOJN65L/aiguided-lung-ultrasound-by-nonexperts.html
MLA:
"AI–guided lung ultrasound by nonexperts." Brightsurf News, Jan. 15 2025, https://www.brightsurf.com/news/1EOJN65L/aiguided-lung-ultrasound-by-nonexperts.html.