Новости за 25.02.2020

by Lenka Cernikova, Carmen Faso, Adrian B. Hehl

by Xiao-Lin Chen, Caiyun Liu, Bozeng Tang, Zhiyong Ren, Guo-Liang Wang, Wende Liu

by David J. Ferland, Hannah Garver, G. Andres Contreras, Gregory D. Fink, Stephanie W. Watts

by Anneclaire J. De Roos, Michelle C. Kondo, Lucy F. Robinson, Arjita Rai, Michael Ryan, Charles N. Haas, José Lojo, Jerald A. Fagliano

by Dominika Pohlmann, Milena Pahlitzsch, Stephan Schlickeiser, Sylvia Metzner, Matthias Lenglinger, Eckart Bertelmann, Anna-Karina B. Maier, Sibylle Winterhalter, Uwe Pleyer

by Olivia Dondina, Valerio Orioli, Elisa Torretta, Federico Merli, Luciano Bani, Alberto Meriggi

by Hiroyoshi Nakanishi, Takeshi Sawada, Yasuharu Kaizaki, Ryosuke Ota, Hiromu Suzuki, Eiichiro Yamamoto, Hironori Aoki, Makoto Eizuka, Kenkei Hasatani, Naoki Takahashi, Satoko Inagaki, Masahide Ebi, Hiroyuki Kato, Eiji Kubota, Hiromi Kataoka, Satoru Takahashi, Takashi Tokino, Toshinari Minamoto, Tamotsu Sugai, Yasushi Sasaki

by Agnieszka Walczyk, Janusz Kopczyński, Danuta Gąsior-Perczak, Iwona Pałyga, Artur Kowalik, Magdalena Chrapek, Maria Hejnold, Stanisław Góźdź, Aldona Kowalska

by Allison D. Craig, Farina Khattak, Peter Hastie, Mike R. Bedford, Oluyinka A. Olukosi

by Fredinah Namatovu, Erling Häggström Lundevaller, Lotta Vikström, Nawi Ng

by Manjusha Vaidya, Kiminobu Sugaya

by Mark Y. Huang, Simon Scharf, Peter Y. Chan

Immersive virtual reality (IVR) is a form of distraction therapy that has shown potential as an analgesia and sedation sparing agent. This study assessed the effect of IVR on the self-administered sedation requirements of patients undergoing joint replacement surgery under regional anesthesia in a single center.

This study was a single-center, randomized control trial at St Vincent’s Hospital in Melbourne, Australia. Читать дальше...

by Amanda Hall, Kate Northstone, Yasmin Iles-Caven, Genette Ellis, Steve Gregory, Jean Golding, Marcus Pembrey

by O’Llenecia S. Walker, Rehginald Ragos, Michael K. Wong, Mohamed Adam, Anson Cheung, Sandeep Raha

by Rhys D. Wenlock, Michael F. Bath, Tom Bashford, Katharina Kohler, Peter J. Hutchinson

by Sarah Cristina Fontes Vieira, Victor Santana Santos, Jackeline Motta Franco, Hiram Menezes Nascimento-Filho, Kamilla de Oliveira e Silva Solis Barbosa, Divaldo Pereira de Lyra-Junior, Kleyton de Andrade Bastos, Rosana Cipolotti, Mônica Lisboa Chang Wayhs, Mário César Vieira, Dirceu Solé, Mauro Batista de Morais, Ricardo Queiroz Gurgel

by Mariana Cruz Almeida, Rita Branco, Paula V. Morais

by Georgi Talmazov, Nathan Veilleux, Aous Abdulmajeed, Sompop Bencharit

by Václav Hrnčíř, Pavel Duda, Gabriel Šaffa, Petr Květina, Jan Zrzavý

by Erin L. Damsteegt, Georgia Thomson-Laing, Matthew J. Wylie, P. Mark Lokman

by Xie Liang, Wang Shu, Zhou Linyong, Li Jianshui, Gu Junqing, Dawa Enzhu, Xu Mingqing

by Gunvor Bjerkelund Røkke, Martin Frank Hohmann-Marriott, Eivind Almaas

by Felix Lakomek, Roman-Patrik Lukas, Peter Brinkrolf, Andreas Mennewisch, Nicole Steinsiek, Peter Gutendorf, Hendrik Sudowe, Michael Heller, Robert Kwiecien, Alexander Zarbock, Andreas Bohn

by Shammi Luhar, Ian M. Timæus, Rebecca Jones, Solveig Cunningham, Shivani A. Patel, Sanjay Kinra, Lynda Clarke, Rein Houben

by Steven Walczak, Vic Velanovich

Accurate prediction of operative transfusions is essential for resource allocation and identifying patients at risk of postoperative adverse events. This research examines the efficacy of using artificial neural networks (ANNs) to predict transfusions for all inpatient operations.

Over 1.6 million surgical cases over a two year period from the NSQIP-PUF database are used. Data from 2014 (750937 records) are used for model development... Читать дальше...