Deep-learning-driven optical coherence tomography analysis for cardiovascular outcome prediction in patients with acute coronary syndrome

The study was registered in the University Hospital Medical Information Network Clinical Trial Registry (UMIN000049237).

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Publication Details

Journal
European Heart Journal - Digital Health
Published
2024-09-27
DOI
https://doi.org/10.1093/ehjdh/ztae067
Citations
2
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
1.15
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article

Deep-learning-driven optical coherence tomography analysis for cardiovascular outcome prediction in patients with acute coronary syndrome

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2 citations
European Heart Journal - Digital Health
Coronary Interventions and Diagnostics
1.15
article

Deep-learning-driven optical coherence tomography analysis for cardiovascular outcome prediction in patients with acute coronary syndrome

Makoto Nishimori, Yuto Osumi, Tatsuya Kitagawa, Koshi Matsuhama, Hiroshi Tsunamoto, Hiromasa Otake, Shota Naniwa, Koji Kuroda, Masakazu Shinohara, Hiroyuki Kawamori, Yuta Fukuishi, Tetsuya Yamamoto, Amane Kozuki, Takayoshi Toba, Hiroya Okamoto, Tomoyo Hamana, Tomofumi Takaya, Seigo Iwane, S Shibata, Yuki Sakamoto, Satoru Sasaki, Hiroyuki Fujii, Masamichi Iwasaki, Ken‐ichi Hirata, Kotaro Higuchi, Junya Shite, Shunsuke Kakizaki, Takashi Hiromasa
article en
2 citations

Abstract

The study was registered in the University Hospital Medical Information Network Clinical Trial Registry (UMIN000049237).

European Heart Journal - Digital HealthVol. 5(6)
Hyogo Prefectural Awaji Medical Center (JP), Himeji Medical Center (JP), Saiseikai Nakatsu Hospital (JP), Kobe University (JP)
Good health and well-being
Openalex Percentile: Top 20%
Coronary Interventions and Diagnostics
1.15
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