User:Radnagoya/Rintaro Ito

Rintaro Ito (1984 - ) is a Japanese medical scientist and physician, radiologist. He is currently a Designated lecturer at the Department of Innovative BioMedical Visualization, Nagoya University Graduate School of Medicine. His research focuses on radiology, particularly computer-aided diagnosis, diagnostic imaging, and artificial intelligence.

Overview

 * 2011 - Graduated from Nagoya University Faculty of Medicine, Department of Medicine
 * 2013 - Medical Staff, Nagoya University
 * 2017 - Graduated from Nagoya University Graduate School of Medicine with a doctorate in general medicine.
 * 2017 - Assistant Professor, Department of Radiology, Nagoya University School of Medicine
 * 2019 - Designated Assistant Professor, Nagoya University Graduate School of Medicine, Innovative Biological Visualization Technology Development Industry Collaboration Research Seminar
 * 2021 - Visiting Assistant Professor, UCLA Radiological Sciences
 * 2024 - Designated Lecturer, Nagoya University Graduate School of Medicine, Innovative Biological Visualization Technology Development and Industrial Collaboration Research Lecture

Research Fields

 * Radiological Science
 * Computer-Aided Diagnosis
 * Diagnostic Imaging
 * Artificial Intelligence

Main Research Achievements

 * 1) Ito R, Iwano S, Naganawa S. A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019 DIAGNOSTIC AND INTERVENTIONAL RADIOLOGY  2020;26(5) 443-448
 * 2) Ito R, Iwano S, Shimamoto H, Umakoshi H, Kawaguchi K, Ito S, Kato K, Naganawa S. A comparative analysis of dual-phase dual-energy CT and FDG-PET/CT for the prediction of histopathological invasiveness of non-small cell lung cancer. European Journal of Radiology. 2017;95:186-191.
 * 3) Ito R, Iwano S, Kishimoto M, Ito S, Kato K, Naganawa S. Correlation between FDG-PET/CT findings and solid type non-small cell cancer prognostic factors: are there differences between adenocarcinoma and squamous cell carcinoma? Annals of Nuclear Medicine. 2015;29(10):897-905.

Research Funding
2021-2024 Grant-in-Aid for Early-Career Scientists, Japan Society for the Promotion of Science, "A study on natural language processing analysis of radiology reports using artificial intelligence" (Principal Investigator) 2019-2023 Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, "Establishment of a next-generation prognostic prediction model for early lung cancer by integrated analysis of ultra-high-resolution morphological images and functional images" (Co-Investigator)

Academic Society Memberships
The Japan Radiological Society The Japan Lung Cancer Society Japanese Society for Medical Artificial Intelligence The Japanese Society of Nuclear Medicine