An open AI model could help medical experts to interpret chest X-rays

Namkug Kim ()

Nature, 2025, vol. 643, issue 8071, 340-341

Abstract: An accessible and adaptable artificial-intelligence model trained on a diverse set of X-ray images is better than existing models at spotting rare chest diseases.

Keywords: Imaging; Medical research; Machine learning; Computer science (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/d41586-025-01525-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:643:y:2025:i:8071:d:10.1038_d41586-025-01525-x

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/d41586-025-01525-x

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().