Wayfinding artificial intelligence to detect clinically meaningful spots of retinal diseases: Artificial intelligence to help retina specialists in real world practice

AIM/BACKGROUND: To aim of this study is to develop an artificial intelligence (AI) that aids in the thought process by providing retinal clinicians with clinically meaningful or abnormal findings rather than just a final diagnosis, i.e., a “wayfinding AI.” METHODS: Spectral domain optical coherence...

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Detalles Bibliográficos
Autores principales: Shiihara, Hideki, Sonoda, Shozo, Terasaki, Hiroto, Fujiwara, Kazuki, Funatsu, Ryoh, Shiba, Yousuke, Kumagai, Yoshiki, Honda, Naoto, Sakamoto, Taiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042340/
https://www.ncbi.nlm.nih.gov/pubmed/36972243
http://dx.doi.org/10.1371/journal.pone.0283214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042340/
https://www.ncbi.nlm.nih.gov/pubmed/36972243
http://dx.doi.org/10.1371/journal.pone.0283214

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