Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Tatsuya, Arakaki"'
Autor:
Hiroaki Tanaka, Junichi Hasegawa, Shinji Katsuragi, Kayo Tanaka, Tatsuya Arakaki, Masamitsu Nakamura, Eijiro Hayata, Masahiko Nakata, Takeshi Murakoshi, Akihiko Sekizawa, Isamu Ishiwata, Tomoaki Ikeda
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract This study aimed to clarify the relationship between maternal mortality and advanced maternal age in Japan and to provide useful information for future perinatal management. Maternal death rates by age group were investigated for all materna
Externí odkaz:
https://doaj.org/article/ba8b1ac0512e4b70b41a211a14461cd2
Autor:
Ken Takahashi, Osamu Samura, Akihiro Hasegawa, Haruna Okubo, Keiji Morimoto, Madoka Horiya, Aikou Okamoto, Daigo Ochiai, Mamoru Tanaka, Masaki Sekiguchi, Naoyuki Miyasaka, Yuto Suzuki, Tsutomu Tabata, Eijiro Hayata, Masahiko Nakata, Tomoo Suzuki, Hirotaka Nishi, Yumi Toda, Shinji Tanigaki, Natsumi Furuya, Junichi Hasegawa, Shunsuke Tamaru, Yoshimasa Kamei, Seisuke Sayama, Takeshi Nagamatsu, Yuka Otera Takahashi, Michihiro Kitagawa, Tatsuya Arakaki, Akihiko Sekizawa
Publikováno v:
BMC Pregnancy and Childbirth, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background mRNA vaccination is an effective, safe, and widespread strategy for protecting pregnant women against infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. However, information on factors such as p
Externí odkaz:
https://doaj.org/article/e2a82881a12646b6a6545b59b9f7895a
Autor:
Tomoaki Ikeda, Akihiko Sekizawa, Junichi Hasegawa, Isamu Ishiwata, Katsuyuki Kinoshita, Tatsuya Arakaki
Publikováno v:
BMJ Open, Vol 12, Iss 12 (2022)
Objective To identify independent risk factors for severe COVID-19 in pregnant women and to evaluate the impact of disease severity on preterm birth.Design A case–control study based on data from a nationwide questionnaire-based survey of maternity
Externí odkaz:
https://doaj.org/article/a416489508ea4cd0b871b5e7f21d427e
Clinical characteristics of pregnant women with COVID-19 in Japan: a nationwide questionnaire survey
Autor:
Tatsuya Arakaki, Junichi Hasegawa, Akihiko Sekizawa, Tomoaki Ikeda, Isamu Ishiwata, Katsuyuki Kinoshita, the Japan Association of Obstetricians and Gynecologists (JAOG)
Publikováno v:
BMC Pregnancy and Childbirth, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background Few reports have presented an overall view of pregnant women with coronavirus disease 2019 (COVID-19) across an entire country and throughout the entire gestation period. Furthermore, no such reports are available for Japan. We ex
Externí odkaz:
https://doaj.org/article/966df769bdd74bf798ef1f2c0ab38ff4
Autor:
Junichi Hasegawa, Tatsuya Arakaki, Akihiko Sekizawa, Tomoaki Ikeda, Isamu Ishiwata, Katsuyuki Kinoshita, department of medical safety, the Japan Association of Obstetricians and Gynecologists (JAOG)
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0251434 (2021)
A nationwide questionnaire survey about community-acquired infection of coronavirus disease 2019 (COVID-19) was conducted in July 2020 to identify the characteristics of and measures taken by Japanese medical facilities providing maternity services.
Externí odkaz:
https://doaj.org/article/7328141e09174b7198ef8a9059eb50cf
Autor:
Akira Sakai, Masaaki Komatsu, Reina Komatsu, Ryu Matsuoka, Suguru Yasutomi, Ai Dozen, Kanto Shozu, Tatsuya Arakaki, Hidenori Machino, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa, Ryuji Hamamoto
Publikováno v:
Biomedicines, Vol 10, Iss 3, p 551 (2022)
Diagnostic support tools based on artificial intelligence (AI) have exhibited high performance in various medical fields. However, their clinical application remains challenging because of the lack of explanatory power in AI decisions (black box prob
Externí odkaz:
https://doaj.org/article/0f82a039d7ff49a8a38ebeed5de9eb86
Autor:
Hiroaki Tanaka, Junichi Hasegawa, Shinji Katsuragi, Kayo Tanaka, Tatsuya Arakaki, Masamitsu Nakamura, Eijiro Hayata, Masahiko Nakata, Takeshi Murakoshi, Akihiko Sekizawa, Isamu Ishiwata, Tomoaki Ikeda
Objectives: This study aimed to clarify the relationship between maternal mortality and advanced maternal age in Japan and to provide useful information for future perinatal management. Methods: Maternal death rates by age group were investigated for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a52e6ac3aaacd80600f51d8b763aecc
https://doi.org/10.21203/rs.3.rs-2726093/v1
https://doi.org/10.21203/rs.3.rs-2726093/v1
Autor:
Tomomi Matsushita, Tatsuya Arakaki, Akihiko Sekizawa, Junichi Hasegawa, Hiroaki Tanaka, Shinji Katsuragi, Masahiko Nakata, Takeshi Murakoshi, Tomoaki Ikeda, Isamu Ishiwata
Publikováno v:
The Journal of Maternal-Fetal & Neonatal Medicine. 36
Autor:
Masaaki Komatsu, Akira Sakai, Reina Komatsu, Ryu Matsuoka, Suguru Yasutomi, Kanto Shozu, Ai Dozen, Hidenori Machino, Hirokazu Hidaka, Tatsuya Arakaki, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa, Ryuji Hamamoto
Publikováno v:
Applied Sciences, Vol 11, Iss 1, p 371 (2021)
Artificial Intelligence (AI) technologies have recently been applied to medical imaging for diagnostic support. With respect to fetal ultrasound screening of congenital heart disease (CHD), it is still challenging to achieve consistently accurate dia
Externí odkaz:
https://doaj.org/article/43c6e790948a4226beac242036c0d4a5
Autor:
Suguru Yasutomi, Tatsuya Arakaki, Ryu Matsuoka, Akira Sakai, Reina Komatsu, Kanto Shozu, Ai Dozen, Hidenori Machino, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa, Ryuji Hamamoto, Masaaki Komatsu
Publikováno v:
Applied Sciences, Vol 11, Iss 3, p 1127 (2021)
Acoustic shadows are common artifacts in medical ultrasound imaging. The shadows are caused by objects that reflect ultrasound such as bones, and they are shown as dark areas in ultrasound images. Detecting such shadows is crucial for assessing the q
Externí odkaz:
https://doaj.org/article/181f26c0ff9b4bdf8775be4c5ae0d562