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Shinri Sato

Keio University - Department of Ophthalmology

35 Shinanomachii

Tokyo, 160-8582

Japan

  • Keio University - Department of Ophthalmology

SCHOLARLY PAPERS

4

DOWNLOADS

505

TOTAL CITATIONS

4

Scholarly Papers (4)

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1.

Artificial Intelligence-Based Cataract Diagnosis Using Video Recording and Machine Learning: A Retrospective Study

Number of pages: 29 Posted: 19 Oct 2020
Eisuke Shimizu, Hiroyuki Yazu, Naohiko Aketa, Makoto Tanji, Akito Sakasegwa, Shintato Nakayama, Koki Ishikawa, Ryota Yokoiwa M Eng, Shinri Sato, Taiichiro Katayama, Akiko Hanyuda, Kazumi Fukagawa, Hiroshi Fujishima, Yasunori Sato, Yoko Ogawa and Kazuo Tsubota
Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, OUI, Inc, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Preventive Medicine and Public Health, Keio University - Department of Preventive Medicine and Public Health and Keio University - Department of Ophthalmology
Downloads 196 (387,924)
Citation 3

Abstract:

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Artificial Intelligence, cataract, machine learning, smart eye camera, diagnosis

2.

Artificial Intelligence to Estimate the Tear Film Breakup Time and Diagnose Dry Eye Disease

Number of pages: 20 Posted: 22 Nov 2022
Eisuke Shimizu, Toshiki Ishikawa, Makoto Tanji, Naomichi Agata, Shintato Nakayama, Yo Nakahara, Ryota Yokoiwa M Eng, Shinri Sato, Akiko Hanyuda, Yoko Ogawa, Masatoshi Hirayama, Kazuo Tsubota, Yasunori Sato, Jun Shimazaki and Kazuno Negishi
Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, OUI, Inc, Keio University - Department of Ophthalmology, OUI, Inc, OUI, Inc, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Preventive Medicine and Public Health, Keio University - Department of Ophthalmology and Keio University - Department of Ophthalmology
Downloads 138 (530,816)

Abstract:

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Dry eye disease, innovation, mobile device, Smart eye camera, telemedicine, tear film break-up time

3.

Assessment of the Functionality of a Smartphone-Attached Slit-Lamp Microscope and Fundoscopy Device (Smart Eye Camera): A Prospective Study

Number of pages: 32 Posted: 16 Jul 2025
Eisuke Shimizu, Shigeto Shimmura, Yoko Ogawa, Shinri Sato, Kazuki Asai, Maki Ishii, Ryo Takemura, Kengo Nagashima, Ryota Yokoiwa M Eng, Shintato Nakayama, Mizuka Kamoi, Miki Uchino, Kazumi Fukagawa, Hiroshi Fujishima, Kazuo Tsubota, Risa Hokama, Masatoshi Hirayama, Yasunori Sato and Kazuno Negishi
Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Preventive Medicine and Public Health, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - School of Medicine, Keio University Hospital Clinical and Translational Research Center, Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, OUI, Inc, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Tsurumi University, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Preventive Medicine and Public Health and Keio University - Department of Ophthalmology
Downloads 107 (654,668)

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Smartphone imaging, slit-lamp microscopy, fundus camera, tele-ophthalmology, diagnostic accuracy

4.

Artificial Intelligence for Diagnosing Nuclear Cataracts Based on the Emery-Little Classification Using Anterior Segment Images

Number of pages: 21 Posted: 22 May 2025
Eisuke Shimizu, Jun Ohashi, Hiroki Nishimura, Shinri Sato, Shunpei Fujioka, Mai Nishio, Rohan Khemlani, Ryota Yokoiwa M Eng, Shintato Nakayama and Tadashi Hattori
Keio University - Department of Ophthalmology, affiliation not provided to SSRN, Keio University, Keio University - Department of Ophthalmology, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, OUI, Inc, Keio University - Department of Ophthalmology and affiliation not provided to SSRN
Downloads 64 (924,743)
Citation 1

Abstract:

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Artificial Intelligence, Cataract, machine learning, Deep Learning, Smart Eye Camera, Remote medicine