Recent advances in system management, decision support systems, artificial intelligence and computing in anaesthesia

被引:7
|
作者
Gupta, Bhavna [1 ]
Sahay, Nishant [2 ]
Vinod, Krishnagopal [3 ]
Sandhu, Kirandeep [4 ]
Basireddy, Hariprasad Reddy [5 ]
Mudiganti, Rama Krishna Reddy [6 ]
机构
[1] All India Inst Med Sci, Dept Anaesthesiol, Rishikesh, Uttarakhand, India
[2] All India Inst Med Sci, Dept Anaesthesiol, Patna, Bihar, India
[3] Sree Balaji Med Coll & Hosp, Dept Anaesthesiol, Chennai, Tamil Nadu, India
[4] Wockhardt Hosp, Dept Anaesthesiol, Nasik, Maharashtra, India
[5] Narayana Med Coll, Dept Anaesthesiol, Nellore, Andhra Pradesh, India
[6] MediCiti Inst Med Sci, Dept Anaesthesiol, Hyderabad, Telangana, Pakistan
关键词
Artificial intelligence; machine learning; management information systems; supervised machine learning; unsupervised machine learning;
D O I
10.4103/ija.ija_974_22
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
Advances in artificial intelligence, telemedicine, block-chain technology and electronic medical records are paving the way for a new era in anaesthetic care through automation, non-invasive monitoring, system management and decision support systems. Their utility has been demonstrated in a variety of contexts in the peri-operative setting, including but not limited to, monitoring anaesthesia depth, maintaining drug infusion, predicting hypotension, critical incident evaluation, risk management strategies, antibiotic administration, haemodynamic monitoring, precise ultrasound-guided nerve blocks and a future where possibilities are entirely dependent on how we decide to embrace this progression. The main objective of this article is to provide up-to-date and valuable knowledge about the recent advances in anaesthesia technology during the past few years.
引用
收藏
页码:146 / 151
页数:6
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