Enhanced detection of severe aortic stenosis via artificial intelligence: a clinical cohort study

OBJECTIVE: We developed an artificial intelligence decision support algorithm (AI-DSA) that uses routine echocardiographic measurements to identify severe aortic stenosis (AS) phenotypes associated with high mortality. METHODS: 631 824 individuals with 1.08 million echocardiograms were randomly spil...

Descripción completa

Detalles Bibliográficos
Autores principales: Strange, Geoff, Stewart, Simon, Watts, Andrew, Playford, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Valvular Heart Disease
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373677/
https://www.ncbi.nlm.nih.gov/pubmed/37491129
http://dx.doi.org/10.1136/openhrt-2023-002265

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373677/
https://www.ncbi.nlm.nih.gov/pubmed/37491129
http://dx.doi.org/10.1136/openhrt-2023-002265

Ejemplares similares