№ files_lp_4_process_3_142354
This research article investigates the application of deep learning in Optical Coherence Tomography (OCT) to predict cardiovascular outcomes in patients with acute coronary syndrome after percutaneous coronary intervention (PCI).
Year: 2026
Region / City: Kobe, Hyogo, Osaka, Japan
Theme: Cardiovascular Medicine, Deep Learning, Optical Coherence Tomography (OCT), Coronary Artery Disease
Document Type: Research Article
Institution / Organization: Kobe University Graduate School of Medicine, Hyogo Prefectural Awaji Medical Centre, Osaka Saiseikai Nakatsu Hospital, Hyogo Prefectural Himeji Cardiovascular Centre
Author: Tomoyo Hamana, Makoto Nishimori, Satoki Shibata, Hiroyuki Kawamori, Takayoshi Toba, Takashi Hiromasa, Shunsuke Kakizaki, Satoru Sasaki, Hiroyuki Fujii, Yuto Osumi, Seigo Iwane, Tetsuya Yamamoto, Shota Naniwa, Yuki Sakamoto, Yuta Fukuishi, Koshi Matsuhama, Hiroshi Tsunamoto, Hiroya Okamoto, Kotaro Higuchi, Tatsuya Kitagawa, Masakazu Shinohara, Koji Kuroda, Masamichi Iwasaki, Amane Kozuki, Junya Shite, Tomofumi Takaya, Ken-ichi Hirata, Hiromasa Otake
Target Audience: Cardiologists, Researchers in Medical Imaging and Artificial Intelligence
Period of Validity: Ongoing
Approval Date: N/A
Date of Modifications: N/A
Price: 8 / 10 USD
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