Research Trends Using Artificial Intelligence in the MRI from 1989 to 2023: Analysis Using Text Mining

In recent years, the research area related to artificial intelligence in the field of MRI has become a thriving area involving deep learning. In addition, there were many studies in the diagnostic area throughout the period.

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Publication Details

Journal
Japanese Journal of Radiological Technology
Published
2025-01-01
DOI
https://doi.org/10.6009/jjrt.25-1480
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
Field-Weighted Citation Impact
0.00
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Research Trends Using Artificial Intelligence in the MRI from 1989 to 2023: Analysis Using Text Mining

Yukito Yoshida, Tomoaki Shiroo, Y Kamikawa, Masataka Yamaguchi et al.
Japanese Journal of Radiological Technology
Diverse Approaches in Healthcare and Education Studies
article

Research Trends Using Artificial Intelligence in the MRI from 1989 to 2023: Analysis Using Text Mining

Yukito Yoshida, Tomoaki Shiroo, Y Kamikawa, Masataka Yamaguchi, Yasufumi Kondo
article en

Abstract

In recent years, the research area related to artificial intelligence in the field of MRI has become a thriving area involving deep learning. In addition, there were many studies in the diagnostic area throughout the period.

Japanese Journal of Radiological TechnologyVol. 81(8)
Oita University Hospital (JP)
Openalex Percentile: Top 78%
Diverse Approaches in Healthcare and Education Studies
DOIOpen Access PDFOpenAlex
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Research Trends Using Artificial Intelligence in the MRI from 1989 to 2023: Analysis Using Text Mining — Yukito Yoshida, Tomoaki Shiroo, et al. · Japanese Journal of Radiological Technology (2025) | TGRS Research Map | TGRS