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Listar 02.01.01. Investigación y comunicación científica por autor "Wakabayashi, Go"

Listar 02.01.01. Investigación y comunicación científica por autor "Wakabayashi, Go"

Ordenar por:Orden:Resultados:

  • Correction to: Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8: an international multicenter study (Surgical Endoscopy, (2024), 38, 5, (2411-2422), 10.1007/s00464-024-10681-6) 
    López-López, Víctor; Morise, Zeniche; Albaladejo-González, Mariano; Gómez-Gavara, Concepción; Goh, Brian-KP; Koh, Ye-Xin; Paul, Sijberden-Jasper; Hilal, Mohammed-Abu; Mishima, Kohei; Krürger, Jaime-Arthur-Pirola; Herman, Paulo; Cerezuela, Álvaro; Brusadin, Roberto; Kaizu, Takashi; Luján, Juan; Rotellar, Fernando; Monden, Kazuteru; Dalmau, Mar; Gotohda, Naoto; Kudo, Masashi; Kanazawa, Akishige; Kato, Yutaro; Nitta, Hiroyuki; Amano, Satoshi; Valle, Raffaele-Dalla; Giuffrida, Mario; Ueno, Masaki; Otsuka, Yuichiro; Asano, Daisuke; Tanabe, Minoru; Itano, Osamu; Minagawa, Takuya; Eshmuminov, Dilmurodjon; Herrero, Irene; Ramírez, Pablo; Ruipérez-Valiente, José-A; Robles-Campos, Ricardo; Wakabayashi, Go (Springer, 2024)
  • Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8: an international multicenter study 
    López-López, Víctor; Morise, Zeniche; Albadalejo-González, Mariano; Gómez-Gavara, Concepción; Goh, Brian-KP; Koh, Ye-Xin; Paul, Sijberden-Jasper; Hilal, Mohammed-Abu; Mishima, Kohei; Kruerger, Jaime-Arthur-Pirola; Herman, Paulo; Cerezuela, Álvaro; Brusadin, Roberto; Kaizu, Takashi; Luján, Juan; Rotellar, Fernando; Monden, Kazuteru; Dalmau, Mar; Gotohda, Naoto; Kudo, Masashi; Kanazawa, Akishige; Kato, Yutaro; Nitta, Hiroyuki; Amano, Satoshi; Valle, Raffaele-Dalla; Giuffrida, Mario; Ueno, Masaki; Otsuka, Yuichiro; Asano, Daisuke; Tanabe, Minoru; Itano, Osamu; Minagawa, Takuya; Eshmuminov, Dilmurodjon; Herrero, Irene; Ramírez, Pablo; Ruiperez-Valiente, José-A; Robles-Campos, Ricardo; Wakabayashi, Go (Springer, 2024-04)
    BACKGROUND: Artificial intelligence (AI) is becoming more useful as a decision-making and outcomes predictor tool. We have developed AI models to predict surgical complexity and the postoperative course in laparoscopic ...
  • Robotic versus laparoscopic liver resection for huge (?10 cm) liver tumors: an international multicenter propensity-score matched cohort study of 799 cases 
    Cheung, Tan-To; Liu, Rong; Cipriani, Federica; Wang, Xiaoying; Efanov, Mikhail; Fuks, D; Choi, Gi-Hong; Syn, Nicholas-L; Chong, Charing-CN; Di-Benedetto, Fabrizio; Robles-Campos, Ricardo; Mazzaferro, Vincenzo; Rotellar, Fernando; López-Ben, Santiago; Park, James-O; Mejia, Alejandro; Sucandy, Iswanto; Chiow, Adrián-KH; Marino, Marco-V; Gastaca, Mikel; Lee, Jae-Hoon; Kingham, TPeter; D'Hondt, Mathieu; Choi, Sung-Hoon; Sutcliffe, Robert-P; Han, Ho-Seong; Tang, Chung-Ngai; Pratschke, Johann; Troisi, Roberto-Iván; Wakabayashi, Go; Cherqui, Daniel; Giuliante, Felice; Aghayan, Davit-L; Edwin, Bjorn; Scatton, Olivier; Sugioka, Atsushi; Tran-Cong-Duy-Long,; Fondevila-Campo, Constantino; Abu-Hilal, Mohammad; Ruzzenente, Andrea; Ferrero, Alessandro; Herman, Paulo; Chen, Kuo-Hsin; Aldrighetti, Luca; Goh, Brian-KP (AME PUBLISHING COMPANY, 2023-04-10)
    BACKGROUND: The use of laparoscopic (LLR) and robotic liver resections (RLR) has been safely performed in many institutions for liver tumours. A large scale international multicenter study would provide stronger evidence ...

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