Deep Learning System Boosts Radiologist Detection of Intracranial Hemorrhage

Background: Intracranial hemorrhage (ICH) requires emergent medical treatment for positive outcomes. While previous artificial intelligence (AI) solutions achieved rapid diagnostics, none were shown to improve the performance of radiologists in detecting ICHs. Here, we show that the Caire ICH artifi...

Descripción completa

Detalles Bibliográficos
Autores principales: Warman, Roshan, Warman, Anmol, Warman, Pranav, Degnan, Andrew, Blickman, Johan, Chowdhary, Varun, Dash, Dev, Sangal, Rohit, Vadhan, Jason, Bueso, Tulio, Windisch, Thomas, Neves, Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653089/
https://www.ncbi.nlm.nih.gov/pubmed/36381767
http://dx.doi.org/10.7759/cureus.30264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653089/
https://www.ncbi.nlm.nih.gov/pubmed/36381767
http://dx.doi.org/10.7759/cureus.30264

Ejemplares similares