Yutaro Fuse

Assistant Professor

Chiba University

Japan

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About

Yutaro Fuse is an Assistant Professor at Chiba University, Japan. His research primarily focuses on artificial intelligence applications in clinical data analysis, with notable articles addressing data generation for medical imaging, headache diagnosis models, and predictive machine learning in postoperative outcomes. Additionally, he explores innovative treatments for conditions such as migraine and hydrocephalus.

Articles (10)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2023

Collaborators (1)

Ryuta Saito

Professor

Nagoya University Graduate School of Medicine

JAPAN

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Yutaro Fuse

Research Interests

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Articles (10)

Synthetic data generation with Worley–Perlin diffusion for robust subarachnoid hemorrhage detection in imbalanced CT Datasets

Artificial intelligence in clinical data analysis: A review of large language models, foundation models, digital twins, and allergy applications

Benchmark for Setting ACTH Cell Dosage in Clinical Regenerative Medicine for Post-Operative Hypopituitarism

Real-world clinical results of CGRP monoclonal antibody treatment for medication overuse headache of migraine without abrupt drug discontinuation and no hospitalization

Artificial Intelligence-Based Headache Diagnosis Model for Solving Unmet Medical Needs on Migraine

DISTANT PARENCHYMAL RECURRENCE DURING LONG-TERM USE OF TTFIELDS TREATMENT FOR GLIOBLASTOMA

Development and validation of machine learning models to predict postoperative infarction in moyamoya disease

Integrating Telemedicine and Metaverse Care in Neurorehabilitation: A Metaverse Approach to Addressing Migraine Stigma

Neonatal Ventricular Reservoir Implantation for Hydrocephalus Management in Chiari III Malformations: A Case Report

Development of machine learning models for predicting unfavorable functional outcomes from preoperative data in patients with chronic subdural hematomas

Collaborators (1)

Ryuta Saito

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