Artificial intelligence to classify ear disease from otoscopy: A systematic review and meta‐analysis

OBJECTIVES: To summarise the accuracy of artificial intelligence (AI) computer vision algorithms to classify ear disease from otoscopy. DESIGN: Systematic review and meta‐analysis. METHODS: Using the PRISMA guidelines, nine online databases were searched for articles that used AI computer vision alg...

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Detalles Bibliográficos
Autores principales: Habib, Al‐Rahim, Kajbafzadeh, Majid, Hasan, Zubair, Wong, Eugene, Gunasekera, Hasantha, Perry, Chris, Sacks, Raymond, Kumar, Ashnil, Singh, Narinder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Meta‐analysis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310803/
https://www.ncbi.nlm.nih.gov/pubmed/35253378
http://dx.doi.org/10.1111/coa.13925

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310803/
https://www.ncbi.nlm.nih.gov/pubmed/35253378
http://dx.doi.org/10.1111/coa.13925

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