Regulatory-approved deep learning/machine learning-based medical devices in Japan as of 2020: A systematic review.

Aisu, Nao; Miyake, Masahiro; Takeshita, Kohei; Akiyama, Masato; Kawasaki, Ryo; Kashiwagi, Kenji; Sakamoto, Taiji; Oshika, Tetsuro; Tsujikawa, Akitaka

Aisu, Nao; Miyake, Masahiro; Takeshita, Kohei; Akiyama, Masato; Kawasaki, Ryo; Kashiwagi, Kenji; Sakamoto, Taiji; Oshika, Tetsuro; Tsujikawa, Akitaka.

Afiliación

Aisu N; Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Miyake M; Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takeshita K; Japanese Society of Artificial Intelligence in Ophthalmology, Tokyo, Japan.
Akiyama M; Department of Innovation for Medical Information Technology, Jikei University School of Tokyo, Tokyo, Japan.
Kawasaki R; Japanese Society of Artificial Intelligence in Ophthalmology, Tokyo, Japan.
Kashiwagi K; Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University.
Sakamoto T; Japanese Society of Artificial Intelligence in Ophthalmology, Tokyo, Japan.
Oshika T; Artificial Intelligence Center for Medical Research and Application, Osaka University Hospital.
Tsujikawa A; Japanese Society of Artificial Intelligence in Ophthalmology, Tokyo, Japan.

PLOS Digit Health ; 1(1): e0000001, 2022 Jan.

Article en En | MEDLINE | ID: mdl-36812514

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Systematic_reviews Idioma: En Revista: PLOS Digit Health Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Estados Unidos

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