Artificial intelligence in anesthesia: insights from the 2024 Nobel Prize in Physics

被引：0
作者：
Zhang, Zheng [1 ]
Duan, Yi [1 ]
Lin, Jianwei [2 ,3 ]
Luo, Wenjun [1 ]
Lin, Liling [4 ]
Gao, Zhifeng [1 ]
机构：
[1] Tsinghua Univ, Beijing Tsinghua Changgung Hosp, Sch Clin Med, Dept Anaesthesiol, Beijing 100084, Peoples R China
[2] Shantou Univ, Joint Shantou Int Eye Ctr, Big Data Lab, Shantou 515041, Peoples R China
[3] Chinese Univ Hong Kong, Shantou 515041, Peoples R China
[4] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Dept Anesthesiol, Guangzhou 510123, Peoples R China
来源：
ANESTHESIOLOGY AND PERIOPERATIVE SCIENCE | 2025年 / 3卷 / 01期
关键词：
D O I：
10.1007/s44254-025-00086-6
中图分类号：
R614 [麻醉学];
学科分类号：
100217 ;
摘要：
引用
收藏
页数：5
相关论文
共 18 条
[1]   Detection of difficult airway using deep learning [J].
Aguilar, Kevin ;
Alferez, German H. ;
Aguilar, Christian .
MACHINE VISION AND APPLICATIONS, 2020, 31 (01)
[2]   Machine learning in perioperative medicine: a systematic review [J].
Bellini, Valentina ;
Valente, Marina ;
Bertorelli, Giorgia ;
Pifferi, Barbara ;
Craca, Michelangelo ;
Mordonini, Monica ;
Lombardo, Gianfranco ;
Bottani, Eleonora ;
Del Rio, Paolo ;
Bignami, Elena .
JOURNAL OF ANESTHESIA ANALGESIA AND CRITICAL CARE, 2022, 2 (01)
[3]   Feasibility of intelligent drug control in the maintenance phase of general anesthesia based on convolutional neural network [J].
Chen, Jiao ;
Ren, Wei ;
Liu, Jin ;
Fu, Zhongliang ;
Yao, Yu ;
Chen, Xiaoqing ;
Teng, Long .
HELIYON, 2023, 9 (01)
[4]   Interval type-2 fuzzy neural network controller for a multivariable anesthesia system based on a hardware-in-the-loop simulation [J].
El-Nagar, Ahmad M. ;
El-Bardini, Mohammad .
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2014, 61 (01) :1-10
[5]   Personalizing digital pain management with adapted machine learning approach [J].
Fundoiano-Hershcovitz, Yifat ;
Pollak, Keren ;
Goldstein, Pavel .
PAIN REPORTS, 2023, 8 (02) :E1065
[6]   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
[7]   Machine learning: Trends, perspectives, and prospects [J].
Jordan, M. I. ;
Mitchell, T. M. .
SCIENCE, 2015, 349 (6245) :255-260
[8]   Key challenges for delivering clinical impact with artificial intelligence [J].
Kelly, Christopher J. ;
Karthikesalingam, Alan ;
Suleyman, Mustafa ;
Corrado, Greg ;
King, Dominic .
BMC MEDICINE, 2019, 17 (01)
[9]   A web-based machine-learning algorithm predicting postoperative acute kidney injury after total knee arthroplasty [J].
Ko, Sunho ;
Jo, Changwung ;
Chang, Chong Bum ;
Lee, Yong Seuk ;
Moon, Young-Wan ;
Youm, Jae woo ;
Han, Hyuk-Soo ;
Lee, Myung Chul ;
Lee, Hajeong ;
Ro, Du Hyun .
KNEE SURGERY SPORTS TRAUMATOLOGY ARTHROSCOPY, 2022, 30 (02) :545-554
[10]   Deep learning [J].
LeCun, Yann ;
Bengio, Yoshua ;
Hinton, Geoffrey .
NATURE, 2015, 521 (7553) :436-444
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