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Akada M 15

Showing records 1 to 15 | Display all abstracts from Akada M

118788 Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images
Tabuchi H
British Journal of Ophthalmology 2024; 108: 1430-1435

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116974 Annual trends of ophthalmic surgeries in Japan's super-aged society, 2014-2020: a national claims database study
Wada S
Scientific reports 2023; 13: 22884

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118788 Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images
Engelmann J
British Journal of Ophthalmology 2024; 108: 1430-1435

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116974 Annual trends of ophthalmic surgeries in Japan's super-aged society, 2014-2020: a national claims database study
Miyake M; Hata M
Scientific reports 2023; 13: 22884

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118788 Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images
Maeda F
British Journal of Ophthalmology 2024; 108: 1430-1435

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116974 Annual trends of ophthalmic surgeries in Japan's super-aged society, 2014-2020: a national claims database study
Kido A
Scientific reports 2023; 13: 22884

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118788 Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images
Nishikawa R; Nagasawa T
British Journal of Ophthalmology 2024; 108: 1430-1435

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116974 Annual trends of ophthalmic surgeries in Japan's super-aged society, 2014-2020: a national claims database study
Kamei T; Akada M
Scientific reports 2023; 13: 22884

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118788 Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images
Yamauchi T
British Journal of Ophthalmology 2024; 108: 1430-1435

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116974 Annual trends of ophthalmic surgeries in Japan's super-aged society, 2014-2020: a national claims database study
Akada M; Hiragi S
Scientific reports 2023; 13: 22884

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118788 Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images
Tanabe M; Akada M
British Journal of Ophthalmology 2024; 108: 1430-1435

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116974 Annual trends of ophthalmic surgeries in Japan's super-aged society, 2014-2020: a national claims database study
Tamura H
Scientific reports 2023; 13: 22884

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118788 Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images
Akada M; Kihara K
British Journal of Ophthalmology 2024; 108: 1430-1435

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116974 Annual trends of ophthalmic surgeries in Japan's super-aged society, 2014-2020: a national claims database study
Tsujikawa A
Scientific reports 2023; 13: 22884

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118788 Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images
Nakae Y; Kiuchi Y; Bernabeu MO; Bernabeu MO
British Journal of Ophthalmology 2024; 108: 1430-1435

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