Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Takayuki Otsuka"'
Autor:
Takuto Arita, Shinya Suzuki, Jun Motogi, Takuya Umemoto, Naomi Hirota, Hiroshi Nakai, Wataru Matsuzawa, Tsuneo Takayanagi, Akira Hyodo, Keiichi Satoh, Naoharu Yagi, Takayuki Otsuka, Mikio Kishi, Hiroto Kano, Shunsuke Matsuno, Yuko Kato, Tokuhisa Uejima, Yuji Oikawa, Takayuki Hori, Minoru Matsuhama, Mitsuru Iida, Junji Yajima, Takeshi Yamashita
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 51, Iss , Pp 101389- (2024)
Background: The potential of utilizing artificial intelligence with electrocardiography (ECG) for initial screening of aortic dissection (AD) is promising. However, achieving a high positive predictive rate (PPR) remains challenging. Methods and resu
Externí odkaz:
https://doaj.org/article/4388de618cbd4ad2a29330c21877f6d3
Autor:
Naomi Hirota, Shinya Suzuki, Jun Motogi, Takuya Umemoto, Hiroshi Nakai, Wataru Matsuzawa, Tsuneo Takayanagi, Akira Hyodo, Keiichi Satoh, Takuto Arita, Naoharu Yagi, Mikio Kishi, Hiroaki Semba, Hiroto Kano, Shunsuke Matsuno, Yuko Kato, Takayuki Otsuka, Tokuhisa Uejima, Yuji Oikawa, Takayuki Hori, Minoru Matsuhama, Mitsuru Iida, Junji Yajima, Takeshi Yamashita
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 46, Iss , Pp 101211- (2023)
Background: This study sought to develop an artificial intelligence-derived model to detect the dilated phase of hypertrophic cardiomyopathy (dHCM) on digital electrocardiography (ECG) and to evaluate the performance of the model applied to multiple-
Externí odkaz:
https://doaj.org/article/c662f3317c3145f7bf4908e0de63b5cc
Autor:
Kengo Kusano, Ayako Okada, Koji Miyamoto, Eizo Tachibana, Wataru Shimizu, Masato Murakami, Tomoo Harada, Kojiro Tanimoto, Takeshi Kato, Satoru Sakagami, Katsuhito Fujiu, Tatsuya Hayashi, Yasuo Okumura, Kazuhiro Satomi, Tomoyuki Shiozawa, Hideki Kobayashi, Michifumi Tokuda, Teiichi Yamane, Ryohsuke Narui, Seigo Yamashita, Satoru Miyanaga, Ikutaro Nakajima, Hidehira Fukaya, Hajime Kihara, Shiro Nakahara, Koichi Nagashima, Kenta Murotani, Shinya Suzuki, Ryuta Watanabe, Katsuaki Yokoyama, Hidemori Hayashi, Yu-ki Iwasaki, Yuhi Fujimoto, Yasushi Mukai, Koichiro Ejima, Takayuki Otsuka, Masaomi Kimura, Masahide Harada, Junjiroh Koyama, Hideharu Okamatsu, Mitsuru Takami, Morio Shoda, Kenichi Hiroshima, Tadashi Fujino, Keijiro Nakamura, Koji Kumagai, Yuji Watari, Mina Hatsuno, Kazuki Iso, Kazumasa Sonoda, Yoshiyasu Aizawa, Akio Chikata, Masaru Inoue, Hitoshi Minamiguchi, Nobuhiko Makino, Yoshinao Yazaki, Hideshi Aoyagi, Makoto Ichikawa, Hironori Haruta, Takafumi Hiro, Kimie Okubo, Ken Arima, Taiki Tojo, Yoshiaki Fukuda, Koji Oiwa, Tamami Fujiishi, Masashi Akabane, Norikazu Ishikawa, Haruna Tabuchi, Kenjiro Miyamoto, Hiroshi Mase
Publikováno v:
BMJ Open, Vol 13, Iss 2 (2023)
Introduction Data are lacking on the extent to which patients with non-valvular atrial fibrillation (AF) who are aged ≥80 years benefit from ablation treatment. The question pertains especially to patients’ postablation quality of life (QoL) and
Externí odkaz:
https://doaj.org/article/ff19ebd687ab4567904e4380b81de8ee
Autor:
Naomi Hirota, Shinya Suzuki, Jun Motogi, Hiroshi Nakai, Wataru Matsuzawa, Tsuneo Takayanagi, Takuya Umemoto, Akira Hyodo, Keiichi Satoh, Takuto Arita, Naoharu Yagi, Takayuki Otsuka, Takeshi Yamashita
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 44, Iss , Pp 101172- (2023)
Background: There is increasing evidence that 12-lead electrocardiograms (ECG) can be used to predict biological age, which is associated with cardiovascular events. However, the utility of artificial intelligence (AI)-predicted age using ECGs remain
Externí odkaz:
https://doaj.org/article/0b1ecc56b707419d9dba5a6e9025ea7e
Autor:
Takayuki Otsuka, Tsuneo Konta, Ri Sho, Tsukasa Osaki, Masayoshi Souri, Natsuko Suzuki, Takamasa Kayama, Yoshiyuki Ueno
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Health intentions and behaviours are essential for improving the health of individuals and society. This study used cross-sectional data from 20,155 health checkup participants in the Yamagata study to identify factors associated with health
Externí odkaz:
https://doaj.org/article/3ec2d51b49ba45cbbabbc052acd87ae2
Publikováno v:
BMC Geriatrics, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background There is a well-established relationship between 12-lead electrocardiogram (ECG) and age and mortality. Furthermore, there is increasing evidence that ECG can be used to predict biological age. However, the utility of biological a
Externí odkaz:
https://doaj.org/article/48151df4ded34d998cd0182372050d35
Autor:
Naomi Hirota, Shinya Suzuki, Takuto Arita, Naoharu Yagi, Takayuki Otsuka, Mikio Kishi, Hiroaki Semba, Hiroto Kano, Shunsuke Matsuno, Yuko Kato, Tokuhisa Uejima, Yuji Oikawa, Minoru Matsuhama, Mitsuru Iida, Tatsuya Inoue, Junji Yajima, Takeshi Yamashita
Publikováno v:
BMC Cardiovascular Disorders, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background Resting 12-lead electrocardiography is widely used for the detection of cardiac diseases. Electrocardiogram readings have been reported to be affected by aging and, therefore, can predict patient mortality. Methods A total of 12,8
Externí odkaz:
https://doaj.org/article/abfc4a8c4a93424f9f7291c32e448638
Autor:
Takayuki Otsuka, Shinya Suzuki, Takuto Arita, Naoharu Yagi, Takanori Ikeda, Takeshi Yamashita
Publikováno v:
Journal of Arrhythmia, Vol 36, Iss 6, Pp 997-1006 (2020)
Abstract Introduction A scoring system to determine indications for catheter ablation (CA) in atrial fibrillation (AF) is desired. Methods and Results Among 2898 consecutive patients with AF, CA was performed in 938 (32.4%). A new HEAL‐AF score has
Externí odkaz:
https://doaj.org/article/b9f0f4fa6b2546c7a0ecd635464d4440
Autor:
Shinya Suzuki, Jun Motogi, Hiroshi Nakai, Wataru Matsuzawa, Tsuneo Takayanagi, Takuya Umemoto, Naomi Hirota, Akira Hyodo, Keiichi Satoh, Takayuki Otsuka, Takuto Arita, Naoharu Yagi, Takeshi Yamashita
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 38, Iss , Pp 100954- (2022)
Background: This study aimed to increase the knowledge on how to enhance the performance of artificial intelligence (AI)-enabled electrocardiography (ECG) to detect atrial fibrillation (AF) on sinus rhythm ECG (SR-ECG). Methods: It is a retrospective
Externí odkaz:
https://doaj.org/article/97a61888b4d64d84922aaa6987b17b40
Autor:
Shinya Suzuki, Takeshi Yamashita, Takayuki Otsuka, Takuto Arita, Naoharu Yagi, Mikio Kishi, Hiroaki Semba, Hiroto Kano, Shunsuke Matsuno, Yuko Kato, Tokuhisa Uejima, Yuji Oikawa, Minoru Matsuhama, Mitsuru Iida, Tatsuya Inoue, Junji Yajima
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 37, Iss , Pp 100883- (2021)
Background: Older adults with atrial fibrillation (AF) have highly diverse risk levels for mortality, heart failure (HF), thromboembolism (TE), and major bleeding (MB), thus an integrated risk-pattern algorithm is warranted. Methods: We analyzed 573
Externí odkaz:
https://doaj.org/article/ae19b3d69dc24e059818042bd03eac42