Shusuke Hiragi

Director / Chief Information Officer

Japan

Research Interests

Explore related searches

Professors in Japan Professors in Medical Imaging Medical Imaging professors in Japan

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Shusuke Hiragi serves as the Director and Chief Information Officer at Zaidan Hojin Tazuke Kofukai in Japan. His research interests encompass healthcare informatics, machine learning applications in clinical settings, and innovative hospital management practices. Recent articles authored by Dr. Hiragi include studies on interest rate decision-making in healthcare financing, the clinical impact of age-related macular degeneration, and the utilization of deep learning for analyzing nephrological datasets.

Articles (11)

Year:

2025

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Collaborators (2)

Tomohiro Kuroda

教授 / Professor

Kyoto University

JAPAN

View details

Hideki Yokoi

Kyoto University

JAPAN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Shusuke Hiragi

Research Interests

Explore related searches

Contact this professor

About

Articles (11)

Deciding fixed or variable interest rate loans with Monte-Carlo simulation: A practice report from a hospital in Japan

Token Economy–Based Hospital Bed Allocation to Mitigate Information Asymmetry: Proof-of-Concept Study Through Simulation Implementation

Incidence and Clinical Practice of Exudative Age-related Macular Degeneration

Promoting Physical Activity in Japanese Older Adults Using a Social Pervasive Game: Randomized Controlled Trial

Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data

Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.

Association between the size of healthcare facilities and the intensity of hypertension therapy: a cross-sectional comparison of prescription data from insurance claims data.

Nationwide incidence of central retinal artery occlusion in Japan: an exploratory descriptive study using the National Database of Health Insurance Claims (2011–2015)

Detecting Severe Incidents from Electronic Medical Records Using Machine Learning Methods.

Preliminary Evaluation of Market Mechanism-Based Bed Allocation System.

Evaluation of the Quality of Life and Health-Related Quality of Life of Patients With End-Stage Kidney Disease Resulting From Kidney Transplantation Using the Kidney Disease Quality of Life-Short Form and EuroQOL-5 Dimension-5 Level Questionnaires

Collaborators (2)

Tomohiro Kuroda

Hideki Yokoi

Make your next move.