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Eisuke Shimizu

Keio University - Department of Ophthalmology

35 Shinanomachii

Tokyo, 160-8582

Japan

  • Keio University - Department of Ophthalmology

SCHOLARLY PAPERS

5

DOWNLOADS

511

TOTAL CITATIONS

4

Scholarly Papers (5)

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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

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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)

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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

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

5.

Development and Validation of an Automated Artificial Intelligence Algorithm for Extracting Diagnosable Frames from Smartphone Funduscopy Videos

Number of pages: 21 Posted: 05 May 2026
Tetsuro Sugiura, Hiroki Nishimura, Ryota Yokoiwa M Eng, Shintato Nakayama, Yuji Takayanagi, Hirotsugu Soga, Shunpei Fujioka and Eisuke Shimizu
affiliation not provided to SSRN, Keio University, OUI, Inc, Keio University - Department of Ophthalmology, Shimane University - Department of Ophthalmology, affiliation not provided to SSRN, affiliation not provided to SSRN and Keio University - Department of Ophthalmology
Downloads 6 (1,571,455)

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