Transforming medical diagnostics by fusing cutting-edge deep learning with clinical expertise.
Delivering faster, more accurate diagnoses to address critical challenges in healthcare.
Our representative has published a medical-AI book (in Japanese)
Get It Running from ZeroMedical Imaging AI for Physicians
We serve healthcare needs through six pillars.
Medical device software powered by cutting-edge deep learning. Analyzes medical images with high precision, delivering real-time insights and explainable results that physicians can trust.
Free white paper (in Japanese)Medical Diagnostic Support AI: Its Potential and LimitsDownloadRemote image interpretation by specialist physicians. Delivering high-quality radiology reports in a timely manner regardless of location, helping bridge regional gaps in healthcare access. Our platform architecture, built for the future implementation of an AI inference engine, enables a smooth expansion to advanced AI-powered cloud radiology services.
A cloud-based electronic health record. With an optional integration with our Cloud Radiology Services, even facilities without an on-site radiologist can go from imaging orders to radiology reports entirely within the record.
A managed service providing high-quality data annotation by specialist physicians and domain experts. Through a multi-stage quality assurance process, we build expertly curated datasets that support pharmaceutical R&D, drug discovery, and AI development.
Generating rich structured datasets from medical images. Partnering with pharmaceutical companies to accelerate drug discovery and R&D with high-quality AI-analyzed clinical data and quantitative biomarkers.
Custom AI model and system development. Building tailored solutions from concept to deployment for your unique challenges.
Learn moreExpanding into additional clinical specialties
Corporate Vision
AI-Powered Access to the World's Best Medical Expertise
Founder & CEO
B.E., M.E., and Ph.D. in Electrical Engineering from Keio University. Since joining NTT as a new graduate, he has nearly 30 years of experience across telecommunications, semiconductor, and software industries. During his nearly 19 years at Intel Corporation, he led the standardization (IEEE, WiMAX Forum, etc.), regulatory adoption (ITU-R, Japan's Ministry of Internal Affairs and Communications, ARIB, etc.), and commercialization of WiMAX technology across both global and Japanese markets, establishing himself as one of Japan's pioneering figures in WiMAX and 5G. In recognition of these achievements, he received the Intel Achievement Award, Intel's highest global honor. He also pursued research on next-generation wireless communication technologies at Intel's headquarters in California, USA. Beyond his technical leadership, he has also served as an executive officer at Japanese subsidiaries of U.S. tech companies, demonstrating strong business acumen. He is currently a Visiting Professor at Kochi University of Technology and formerly at Kyushu University. He holds 10 patents in Japan and the U.S. and is the author/editor of three technical books.
* Only some members of the Medical Research Team are listed here.
Gastroenterology
Graduate of Nippon Medical School. After completing clinical residency, he joined the Department of Gastrointestinal Surgery at Nippon Medical School. Following advanced training at Nippon Medical School Hospital and the National Cancer Center Hospital, he currently practices and conducts research as a gastrointestinal surgeon specializing in hepatobiliary-pancreatic surgery at Nippon Medical School Chiba Hokusoh Hospital, with a primary focus on liver surgery. Alongside his clinical work, he actively promotes collaborative research in navigation surgery, including AI applications. Contributes to Kewel's AI diagnostic SaMD development in gastroenterology as a clinical hepatobiliary-pancreatic surgeon.
Neurology
Graduate of Nippon Medical School. After completing initial clinical training at Nippon Medical School Hospital, he joined the Department of Neurology. After working at Tokyo Metropolitan Ebara Hospital, Nippon Medical School Hospital, and other institutions, followed by a research fellowship at the University of California, Los Angeles, he has served as Associate Professor and Director of Neurology at Nippon Medical School Musashikosugi Hospital since 2026. He is certified as a Specialist and Supervising Physician by the Japanese Society of Neurology, among others, specializing in stroke care with a particular focus on neuroendovascular treatment. Leads Kewel's AI diagnostic SaMD development in neurology as a clinical specialist in stroke and neuroendovascular treatment.
Gastroenterology
Graduate of Shiga University of Medical Science. Board-certified diagnostic radiologist with over 16 years of clinical experience in diagnostic imaging and IVR at acute care hospitals. He has led image interpretation systems at core hospitals and trained residents and allied health professionals. Contributes to Kewel's AI diagnostic SaMD development in gastroenterology and orthopedics as a board-certified radiologist.
Senior Advisor
Ph.D. in Medicine from the University of Tsukuba. Physician specializing in radiology and medical imaging. After serving at the National Institute of Radiological Sciences, he held academic appointments including Lecturer in Radiology at the University of Tsukuba, Visiting Lecturer at Stanford University School of Medicine, Visiting Lecturer and Associate Professor at Harvard Medical School, and Professor at the University of California, Irvine, where he is now a Professor Emeritus. He has also served as a Visiting Professor at the National University of Singapore and Mahidol University, promoting international collaborative research in AI-based medical imaging. Drawing on his extensive experience in medical imaging and AI research, he provides strategic guidance on Kewel's clinical and imaging initiatives and supports international collaboration in medical AI.
Join us in creating the next generation of medical AI. We are looking for passionate individuals who want to make a real impact on society.
Requirements: 10+ years of business development or sales experience in healthcare or IT
Requirements: Practical experience in deep learning model development
Requirements: Medical professionals interested in AI medical diagnostics
Requirements: B2B sales experience in medical devices or healthcare IT services
Requirements: Experience in medical device regulatory affairs. SaMD experience preferred
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Exhibited a booth at "New Technology Creation Exchange Meeting 2026 (Technology & Product Exhibition)", hosted by the Tokyo Metropolitan Small and Medium Enterprise Support Center, held at Tokyo Tama Mirai Messe. Details →
Our representative published the paperback edition of his Japanese-language book "Medical Diagnostic Support AI Development, Introductory Volume: Get It Running from Zero — Medical Imaging AI for Physicians" (ISBN 978-4991520907). It is available alongside the Kindle edition. Details →
We have released a white paper, "Medical Diagnostic Support AI: Its Potential and Limits" (Japanese-language document). Free download. Download →
Our representative published his Japanese-language book "Medical Diagnostic Support AI Development, Introductory Volume: Get It Running from Zero — Medical Imaging AI for Physicians" as a Kindle e-book. It is the first of a four-volume series; a paperback edition and the remaining three volumes will follow. Details →
Selected for NVIDIA Inception, NVIDIA's global program supporting AI startups.
Received a commission from the Department of Orthopedic Surgery, Fukuoka University Hospital, for the joint development of the "AI Model for Prognosis Prediction after Periarticular Knee Osteotomy".
Filed a patent application for technology that integrates anatomical structure information into AI-based ophthalmic OCT diagnosis to improve diagnostic accuracy: "Ophthalmic Diagnostic Imaging Support Device, Method, and Program" (Japan Patent Application No. 2026-119810).
Our representative presented "Implementation of AI Medical Image Diagnosis: A Startup's Challenge in Developing SaMD for Ophthalmology, Gastroenterology, Orthopedics, and Neurology" at the 3rd DMIL Academic Conference. Details →
Exhibited a booth at "Medtec Japan 2026", held at Tokyo Big Sight. Details →
Selected for the SME Agency "Manufacturing, Commerce and Service Productivity Enhancement Subsidy".
For inquiries about AI medical diagnostic solutions, development partnerships, medical-engineering collaboration, or investment opportunities, please feel free to contact us.
*We do not respond to sales or other inquiries unrelated to our business.
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