Spectrum bias in algorithms derived by artificial intelligence: a case study in detecting aortic stenosis using electrocardiograms

AIMS: Spectrum bias can arise when a diagnostic test is derived from study populations with different disease spectra than the target population, resulting in poor generalizability. We used a real-world artificial intelligence (AI)-derived algorithm to detect severe aortic stenosis (AS) to experimen...

Descripción completa

Detalles Bibliográficos
Autores principales: Tseng, Andrew S, Shelly-Cohen, Michal, Attia, Itzhak Z, Noseworthy, Peter A, Friedman, Paul A, Oh, Jae K, Lopez-Jimenez, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707965/
https://www.ncbi.nlm.nih.gov/pubmed/36713099
http://dx.doi.org/10.1093/ehjdh/ztab061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707965/
https://www.ncbi.nlm.nih.gov/pubmed/36713099
http://dx.doi.org/10.1093/ehjdh/ztab061

Ejemplares similares