Bridging the Gap Between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems

Despite the success of Convolutional Neural Network-based Computer-Aided Diagnosis research, its clinical applications remain challenging. Accordingly, developing medical Artificial Intelligence (AI) fitting into a clinical environment requires identifying/bridging the gap between AI and Healthcare...

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Detalles Bibliográficos
Autores principales: Han, Changhee, Rundo, Leonardo, Murao, Kohei, Nemoto, Takafumi, Nakayama, Hideki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256589/
http://dx.doi.org/10.1007/978-3-030-49186-4_27

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256589/
http://dx.doi.org/10.1007/978-3-030-49186-4_27

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