Literature DB >> 31443916

Machine learning in anaesthesia: reactive, proactive… predictive!

Pedro L Gambus1, Sebastian Jaramillo2.   

Abstract

Mesh:

Year:  2019        PMID: 31443916     DOI: 10.1016/j.bja.2019.07.009

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


× No keyword cloud information.
  3 in total

1.  A prediction model using machine-learning algorithm for assessing intrathecal hyperbaric bupivacaine dose during cesarean section.

Authors:  Chang-Na Wei; Li-Ying Wang; Xiang-Yang Chang; Qing-He Zhou
Journal:  BMC Anesthesiol       Date:  2021-04-14       Impact factor: 2.217

2.  Ultrasound Images Guided under Deep Learning in the Anesthesia Effect of the Regional Nerve Block on Scapular Fracture Surgery.

Authors:  Yubo Liu; Liangzhen Cheng
Journal:  J Healthc Eng       Date:  2021-10-07       Impact factor: 2.682

Review 3.  Artificial intelligence and anesthesia: a narrative review.

Authors:  Valentina Bellini; Emanuele Rafano Carnà; Michele Russo; Fabiola Di Vincenzo; Matteo Berghenti; Marco Baciarello; Elena Bignami
Journal:  Ann Transl Med       Date:  2022-05
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.