Company

Professor, Cybermedicine Research Center, University of Tsukuba.
Associate Professor, Ophthalmology Department of Jichi Medical University, Doctor of Medical Science.
Graduated from the Faculty of Medicine, the University of Tokyo.
Member of AI/Big Data/Telemedicine Strategy Council, Japanese Ophthalmological Society.
He engaged in research on blinding diseases in the ocular fundus at the Department of Ophthalmology of the University of Tokyo and the Ophthalmology Department of Jichi Medical University.
In 2015, he found that deep learning’s image identification ability exceeded that of humans and began to research deep learning; in 2016, he established LLC.
Currently based in Tochigi prefecture, while diagnosing/treating various kinds of blinding diseases as an Associate Professor in the Ophthalmology Department of Jichi Medical University, he is developing a fundus photograph reading support system for medical checkups called DeepEyeVision.

Graduated from the Department of Information and Communication Engineering, Faculty of Engineering, the University of Tokyo (Aizawa-Yamasaki-Matsui Lab, bachelor [engineering]).
Currently enrolled in the master’s program of the Department of Information and Communication Engineering, Graduate School of Information Science and Technology, the University of Tokyo (Shin’ichi Satoh’s Lab, National Institute of Informatics).
Research Fellow of the NEXT Medical Device Innovation Center, National Cancer Center Hospital East; Research Fellow of the Graduate School of Biomedical Engineering, Tohoku University; Fellow of the University of Tokyo Japan Biodesign 7th Period.
Engaged in research on computer vision, machine learning, and multimedia.
A proposal of his was adopted by the INNO-vation Program, Ministry of Internal Affairs and Communications; he won the championship of Softbank AI Hackathon 2019; a proposal of his was adopted by the Endowed Chair for Blockchain Innovation, the University of Tokyo; multiple proposals of his were adopted by Hongo Tech Garage SFP, the University of Tokyo; etc.

Graduated from the School of Medicine, Faculty of Medicine, the University of Tokyo (MD). Completed the doctoral course at the Graduate School of Medicine, the University of Tokyo (PhD). Previously held the positions of Research Fellow of the Japan Society for the Promotion of Science; Instructor of the Department of Ophthalmology, Faculty of Medicine, the University of Tokyo; Adjunct Professor of Duke-NUS Medical School in Singapore; and Professor of the Department of Ophthalmology, Asahikawa Medical University. At present, concurrently holds the positions of Adjunct Professor of Duke-NUS Medical School in Singapore and Visiting Professor of Yokohama City University Medical Center as well as works for a clinic in Tokyo.
Has expertise in ophthalmology and medical retina.

Graduated from the Department of Electrical and Electronic Engineering, Faculty of Engineering, the University of Tokyo (Sakai and Irie Laboratory).
Currently enrolled in the Department of Information and Communication Engineering, Graduate School of Information Science and Technology, the University of Tokyo (Sakai and Irie Laboratory).
Engaged in research on human-computer interaction.
Full-stack engineer with strengths in front-end development.
Multiple proposals of his were adopted by Hongo Tech Garage SFP, the University of Tokyo.

Director of Minamikoyasu Eye Clinic, Kimitsu City, Chiba Prefecture.
Graduated from School of Medicine and Medical Sciences, University of Tsukuba (MD).
Won the First Prize in the Ophthalmic AI Contest at the 2nd Annual Meeting of the Japanese Society of Ophthalmic AI (2021).
Specialties: Glaucoma treatment and machine learning.
Established a learning method for visual field estimation from OCT images using 3D AI models. Engages in the dissemination of AI-based glaucoma treatment support and clinical research.

Graduated from the School of Informatics and Engineering, the University of Electro-Communications.
After working for a manufacturer that specialized in the audio business, joined Konishiroku
Photo Industry Co., Ltd. (current name: Konica Minolta, Inc.) in 1983 and retired in 2021.
At that company, after working for a laboratory and in the product development section, became involved in the establishment and maintenance/management of the quality management system from 2001. After being transferred to a healthcare business section in 2006, worked on a quality management system for medical devices and was in charge of ISO 13485 certification review, US FDA inspections, and other tasks for responding to audits.
JRCA-certified QMS reviewer.

Graduated from Nagoya City University, Faculty of Pharmaceutical Sciences
Pharmacist
Joined DeepEyeVision as an intern while still in college, then joined the company as a new graduate. He joined DeepEyeVision as a new graduate and developed applications as an engineer. He is also engaged in medical data analysis and pharmaceutical affairs, making use of his knowledge of pharmacology.

Graduated from the Keio University Faculty of Nursing and Medical Care. Completed an MBA at Canisius College in the US.
Councilor of the Society of Internet of Medical Things.
Involved in the Tohoku University Medical Coaching Project and other projects at COACH A Co., Ltd. After that, established the General Incorporated Association Healthcare Promotion Association in 2012, and became involved in a business to provide medical services to doctorless areas/areas without visiting nursing. From 2018 to 2019, operated an ophthalmology AI project in cooperation with the Department of Ophthalmology of Keio University as Director of MieTech Co.Ltd.
Won a prize in the Keio Business Contest 2012. Chivas Venture 2018 Japan Finalist.

Graduated from the Keio University Faculty of Letters. Completed the master’s course of the Graduate School of Media and Governance, Keio University.
Worked for NTT Communications Corporation as a person in charge of planning/system
engineering/advertising businesses for enterprise network services (VPN/VoIP) and other businesses.
After that, became involved in planning/presales businesses for machine learning-based services, project management businesses for constructing infrastructure systems, and other businesses at several companies including mega ventures.