Rchr
J-GLOBAL ID：202201005589853116
Update date: Jan. 31, 2024
Hayasaka Tatsuya
ハヤサカ タツヤ | Hayasaka Tatsuya
Affiliation and department：
Job title：
Assistant Professor
Research theme for competitive and other funds (3)：
- 2023 - 2028 Research on improving the accuracy of diagnostic imaging in cerebrospinal fluid leakage using artificial intelligence
- 2023 - 2027 Creation of an artificial intelligence model for simultaneous prediction of mask ventilation difficulty / intubation difficulty by deep learning using patient face Images.
- 2022 - 2026 Development of a monitoring system for lung protective ventilation strategy that realized automatic alert by artificial intelligence
Papers (4)：
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Chifumi Iseki, Tatsuya Hayasaka, Hyota Yanagawa, Yuta Komoriya, Toshiyuki Kondo, Masayuki Hoshi, Tadanori Fukami, Yoshiyuki Kobayashi, Shigeo Ueda, Kaneyuki Kawamae, et al. Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT). Sensors. 2023. 23. 13. 6217-6217
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Tatsuya Hayasaka, Kazuharu Kawano, Yu Onodera, Hiroto Suzuki, Masaki Nakane, Masafumi Kanoto, Kaneyuki Kawamae. Comparison of accuracy between augmented reality/mixed reality techniques and conventional techniques for epidural anesthesia using a practice phantom model kit. BMC anesthesiology. 2023. 23. 1. 171-171
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Ryo Yanagiya, Masahiro Wanezaki, Naohisa Nakamura, Tsubasa Ichikawa, Tatsuya Hayasaka, Akane Yamada, Keiko Aizawa, Satoshi Ito, Masahito Himuro, Hiroto Suzuki, et al. Ivabradine as an Adjuvant Agent for Severe Heart Failure Occurring in the Early Phase after Allogeneic Hematopoietic Cell Transplantation. Internal medicine (Tokyo, Japan). 2022. 61. 18. 2779-2784
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Tatsuya Hayasaka, Kazuharu Kawano, Kazuki Kurihara, Hiroto Suzuki, Masaki Nakane, Kaneyuki Kawamae. Creation of an artificial intelligence model for intubation difficulty classification by deep learning (convolutional neural network) using face images: an observational study. Journal of intensive care. 2021. 9. 1. 38-38
MISC (2)：
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早坂 達哉, 川前 金幸. 顔画像を用いた深層学習(CNN)による挿管困難分類AIモデルの作製. 臨床麻酔. 2021. 45. 10. 1315-1322
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鈴木 博人, 早坂 達哉, 中根 正樹, 川前 金幸. 声門上器具(i-gel)を9日間留置し人工呼吸管理された意識障害の1例. 日本臨床麻酔学会誌. 2020. 40. 6. S342-S342
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