Artificial intelligence: a new frontier for anaesthesiology training

被引：9

作者：

Arora, Anmol ^{[1
]}

机构：

[1] Univ Cambridge, Sch Clin Med, Cambridge, England

来源：

BRITISH JOURNAL OF ANAESTHESIA | 2020年 / 125卷 / 05期

关键词：

artificial intelligence; education; innovation; machine learning; neural networks; simulation; training;

D O I：

10.1016/j.bja.2020.06.049

中图分类号：

R614 [麻醉学];

学科分类号：

100217 ;

摘要：

引用

页码：E407 / E408

页数：2

共 6 条

[1]

Dawson S, 2005, FUTURE HLTH ORG SYST, p[246, 272]

[2] Breast Ultrasound Image Synthesis using Deep Convolutional Generative Adversarial Networks [J].

Fujioka, Tomoyuki ;

Mori, Mio ;

Kubota, Kazunori ;

Kikuchi, Yuka ;

Katsuta, Leona ;

Adachi, Mio ;

Oda, Goshi ;

Nakagawa, Tsuyoshi ;

Kitazume, Yoshio ;

Tateishi, Ukihide .

DIAGNOSTICS, 2019, 9 (04)

[3] Machine learning in anaesthesia: reactive, proactive ... predictive! [J].

Gambus, Pedro L. ;

Jaramillo, Sebastian .

BRITISH JOURNAL OF ANAESTHESIA, 2019, 123 (04) :401-403

[4] Artificial Intelligence in Anesthesiology Current Techniques, Clinical Applications, and Limitations [J].

Hashimoto, Daniel A. ;

Witkowski, Elan ;

Gao, Lei ;

Meireles, Ozanan ;

Rosman, Guy .

ANESTHESIOLOGY, 2020, 132 (02) :379-394

[5] Generative Adversarial Networks for the Creation of Realistic Artificial Brain Magnetic Resonance Images [J].

Kazuhiro, Koshino ;

Werner, Rudolf A. ;

Toriumi, Fujio ;

Javadi, Mehrbod S. ;

Pomper, Martin G. ;

Solnes, Lilja B. ;

Verde, Franco ;

Higuchi, Takahiro ;

Rowe, Steven P. .

TOMOGRAPHY, 2018, 4 (04) :159-163

[6] Machine learning and evidence-based training in technical skills [J].

Shorten, G. ;

Srinivasan, K. Kallidaikurichi ;

Reinertsen, I. .

BRITISH JOURNAL OF ANAESTHESIA, 2018, 121 (03) :521-523

← 1 →