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Ryosuke Fukuyo

Showing results (1-10 of 8) with videos related to

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Annals of Gastroenterological Surgery|May 18, 2026
Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, et al.
Annals of Gastroenterological Surgery|January 5, 2026
Deep Learning Model for Predicting Operative Mortality After Total Gastrectomy: Analysis of the Japanese National Clinical Database (NCD)Ryosuke Fukuyo, Hiroyuki Yamamoto, Masanori Tokunaga, et al.
Annals of Gastroenterological Surgery|May 18, 2026
Response to 'Further Detail Concerning the Deep Learning Model for Mortality After Total Gastrectomy'Ryosuke Fukuyo, Hiroyuki Yamamoto, Masanori Tokunaga, et al.
Asian Journal of Endoscopic Surgery|November 9, 2022
Deep learning-based diagnostic model for predicting complications after gastrectomyRyosuke Fukuyo, Masanori Tokunaga, Yuya Umebayashi, et al.
Surgical Endoscopy|January 15, 2020
Surgical and nutritional outcomes of laparoscopic proximal gastrectomy versus total gastrectomy: a meta-analysisToshiro Tanioka, Rawat Waratchanont, Ryosuke Fukuyo, et al.
Clinical Journal of Gastroenterology|April 11, 2019
Indolent T cell lymphoproliferative disorder with villous atrophy in small intestine diagnosed by single-balloon enteroscopyTakashi Nagaishi, Daiki Yamada, Kohei Suzuki, et al.
World Journal of Surgery|June 14, 2021
Impact of Preoperative Time Interval on Survival in Patients With Gastric CancerKeisuke Okuno, Masanori Tokunaga, Yamato Yamashita, et al.
Langenbeck'S Archives of Surgery|June 24, 2021
Preoperative lymphocyte-to-monocyte ratio is the most predictive inflammatory response marker of survival in gastric cancerKeisuke Okuno, Masanori Tokunaga, Yamato Yamashita, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Annals of Gastroenterological Surgery|May 18, 2026
Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, et al.
Annals of Gastroenterological Surgery|January 5, 2026
Deep Learning Model for Predicting Operative Mortality After Total Gastrectomy: Analysis of the Japanese National Clinical Database (NCD)Ryosuke Fukuyo, Hiroyuki Yamamoto, Masanori Tokunaga, et al.
Annals of Gastroenterological Surgery|May 18, 2026
Response to 'Further Detail Concerning the Deep Learning Model for Mortality After Total Gastrectomy'Ryosuke Fukuyo, Hiroyuki Yamamoto, Masanori Tokunaga, et al.
Asian Journal of Endoscopic Surgery|November 9, 2022
Deep learning-based diagnostic model for predicting complications after gastrectomyRyosuke Fukuyo, Masanori Tokunaga, Yuya Umebayashi, et al.
Surgical Endoscopy|January 15, 2020
Surgical and nutritional outcomes of laparoscopic proximal gastrectomy versus total gastrectomy: a meta-analysisToshiro Tanioka, Rawat Waratchanont, Ryosuke Fukuyo, et al.
Clinical Journal of Gastroenterology|April 11, 2019
Indolent T cell lymphoproliferative disorder with villous atrophy in small intestine diagnosed by single-balloon enteroscopyTakashi Nagaishi, Daiki Yamada, Kohei Suzuki, et al.
World Journal of Surgery|June 14, 2021
Impact of Preoperative Time Interval on Survival in Patients With Gastric CancerKeisuke Okuno, Masanori Tokunaga, Yamato Yamashita, et al.
Langenbeck'S Archives of Surgery|June 24, 2021
Preoperative lymphocyte-to-monocyte ratio is the most predictive inflammatory response marker of survival in gastric cancerKeisuke Okuno, Masanori Tokunaga, Yamato Yamashita, et al.
Pageof 1