Smartphone-based artificial intelligence using a transfer learning algorithm for the detection and diagnosis of middle ear diseases: A retrospective deep learning study

BACKGROUND: Middle ear diseases such as otitis media and middle ear effusion, for which diagnoses are often delayed or misdiagnosed, are among the most common issues faced by clinicians providing primary care for children and adolescents. Artificial intelligence (AI) has the potential to assist clin...

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Detalles Bibliográficos
Autores principales: Chen, Yen-Chi, Chu, Yuan-Chia, Huang, Chii-Yuan, Lee, Yen-Ting, Lee, Wen-Ya, Hsu, Chien-Yeh, Yang, Albert C., Liao, Wen-Huei, Cheng, Yen-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287624/
https://www.ncbi.nlm.nih.gov/pubmed/35856040
http://dx.doi.org/10.1016/j.eclinm.2022.101543

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287624/
https://www.ncbi.nlm.nih.gov/pubmed/35856040
http://dx.doi.org/10.1016/j.eclinm.2022.101543

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