AI supported diagnostic innovations for impact in global women's health.
Where this comes from
- Record sourced from PubMed, PMID 41073085.
- Also identified by DOI 10.1136/bmj-2025-086009 and PMC identifier 12509991.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
<b>Nina Linder and colleagues</b> examine how artificial intelligence could be applied to diagnostic methods that rely on highly trained experts, such as cytological screening for cervical cancer, enabling implementation even in resource limited settings