A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography

Machine learning (ML) holds great promise in transforming healthcare. While published studies have shown the utility of ML models in interpreting medical imaging examinations, these are often evaluated under laboratory settings. The importance of real world evaluation is best illustrated by case stu...

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Detalles Bibliográficos
Autores principales: Salehinejad, Hojjat, Kitamura, Jumpei, Ditkofsky, Noah, Lin, Amy, Bharatha, Aditya, Suthiphosuwan, Suradech, Lin, Hui-Ming, Wilson, Jefferson R., Mamdani, Muhammad, Colak, Errol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382750/
https://www.ncbi.nlm.nih.gov/pubmed/34426587
http://dx.doi.org/10.1038/s41598-021-95533-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382750/
https://www.ncbi.nlm.nih.gov/pubmed/34426587
http://dx.doi.org/10.1038/s41598-021-95533-2

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