Ryo Kawasaki

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Professor

Osaka University Graduate School of Medicine

Japan

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About

Ryo Kawasaki is a Professor at Osaka University Graduate School of Medicine in Japan. His research primarily focuses on the intersection of ophthalmology and diabetes management, examining topics such as diabetic retinopathy, cardiovascular risk profiling using retinal images, and the impact of financial insecurity on adolescent health. He has published numerous articles on the application of artificial intelligence in medical screening and the implications of bariatric surgery on diabetic complications.

Recent Grants

Grant: Close

眼底画像のみから循環器疾患リスクプロファイリングを行う「新・眼底健診」の提案

Open Date: 2022-04-01

Close Date: 2026-03-31

Grant: Close

網膜層厚と遺伝環境因子による孤発性晩期発症型アルツハイマー病前臨床期診断法の確立

Open Date: 2021-04-01

Close Date: 2024-03-31

Grant: Close

画像・音声認識と料理データベースによる食事記録システム開発、及び疫学研究での応用

Open Date: 2020-04-01

Close Date: 2025-03-31

Grant: Close

Development of deep learning based diagnostic support system for thyroid eye disease

Open Date: 2020-04-01

Close Date: 2023-03-31

Grant: Close

『AIの眼』による医療安全確保に関する研究

Open Date: 2020-04-01

Close Date: 2022-03-31

Articles (15)

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2022

Collaborators (13)

Kento Sugimoto

Osaka University

JAPAN

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Toke Bek

Aarhus University

DENMARK

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Kurt Højlund

University of Southern Denmark

DENMARK

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Sakiko Itoh

Project Junior Associate Professor

Tokyo Medical and Dental University

JAPAN

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Shoya Wada

Osaka University

JAPAN

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Hokyou Lee

Yonsei University College of Medicine

SOUTH KOREA

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Kenji Kashiwagi

University of Yamanashi

JAPAN

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shirou manabe

Osaka University

JAPAN

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Hyeon Chang Kim

Yonsei University College of Medicine

SOUTH KOREA

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Steffen Heegaard

DENMARK

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Yoshimune Hiratsuka

Senior associate professor

Juntendo University

JAPAN

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So Goto

University of California, Berkeley

UNITED STATES

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Taiji Sakamoto

Professor

Kagoshima University Hospital

JAPAN

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Ryo Kawasaki

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Recent Grants

Articles (15)

Perceived Familial Financial Insecurity and Obesity Among Korean Adolescents During the COVID-19 Pandemic

Association of continuous subcutaneous insulin therapy and diabetic retinopathy in type 1 diabetes: A national cohort study

Continuous oxygen saturation and risk of retinopathy of prematurity in a Japanese cohort

How Can Artificial Intelligence Be Implemented Effectively in Diabetic Retinopathy Screening in Japan?

Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospective cohort study design

Three cases of macular retinal detachment exacerbated during follow-up with myopic foveoschisis around myopic choroidal neovascularization

Impact of Electronic Medical Record-connected Questionnaire on Efficient Nursing Documentation: A Study of Usability and Efficacy (Preprint)

Bariatric surgery in individuals with type 2 diabetes is not associated with short or long-term risk of diabetic retinopathy progression: results from a nationwide cohort study

Inter‐grader reliability in the Danish screening programme for diabetic retinopathy

Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis

Preliminary demonstration of a novel intraocular lens power calculation: the O formula

Regulatory-approved deep learning/machine learning-based medical devices in Japan as of 2020: A systematic review

Early Stages of Age-Related Macular Degeneration: Racial/Ethnic Differences and Proposal of a New Classification Incorporating Emerging Concept of Choroidal Pathology

Combining Optical Coherence Tomography and Fundus Photography to Improve Glaucoma Screening

Dietary Patterns and Their Associations with Intermediate Age-Related Macular Degeneration in a Japanese Population

Collaborators (13)

Kento Sugimoto

Toke Bek

Kurt Højlund

Sakiko Itoh

Shoya Wada

Hokyou Lee

Kenji Kashiwagi

shirou manabe

Hyeon Chang Kim

Steffen Heegaard

Yoshimune Hiratsuka

So Goto

Taiji Sakamoto

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