Will Artificial Intelligence Open a New Door in Anaesthesia Practice?
Abstract
The research used big data obtained from Electronic Medical Records (EMR), Computerised Physician Order Entry (CPOE) systems and picture archiving and communication systems (PACS). The traditional techniques of statistics are difficult to apply on large data or big data of electronic medical records (EMR) due to vastness or complexity. The artificial intelligence technique is valuable means to handle such data of EMR. Other than artificial intelligence, machine learning is very efficient tool for research difficulties. Classical machine learning like K-means helped us in decision making. The convolutional neural network and recurrent neural network are two types of deep learning techniques to resolve the difficult problems which are unsolved by conventional approaches. The expectations from artificial intelligence in anaesthesia are not near perfection but at least better than human expert. This review introduces the role artificial intelligence in the field of medical research or treatment and management.
Keywords: Artificial intelligence, big data, electronic medical records (EMR), Machine learning, medical research
Cite this Article
Shagufta Naaz, Adil Asghar. Will Artificial Intelligence Open a New Door in Anaesthesia Practice?. Research & Reviews: Journal of Medical Science and Technology. 2020; 9(1): 29–37p.
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PDFDOI: https://doi.org/10.37591/rrjomst.v9i1.1859
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