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Future of artificial intelligence in anesthetics and pain management

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dc.contributor.author McGrath, Harry
dc.contributor.author Flanagan, Colin
dc.contributor.author Zeng, Liaoyuan
dc.contributor.author Lei, Yiming
dc.date.accessioned 2020-01-28T15:52:30Z
dc.date.available 2020-01-28T15:52:30Z
dc.date.issued 2019
dc.identifier.uri http://hdl.handle.net/10344/8439
dc.description peer-reviewed en_US
dc.description.abstract The potential of the second wave of Artificial Intelligence (AI) to change our lives beyond recognition is both exciting and challenging. AI has been around for over three decades, and this new approach of artificial intelligence, due to enhancements in technology, both software, and hardware, has resulted in the fact that human decision-making is considered inferior and erratic in many fields: none more so than medicine. Machine learning algorithms with access to large data sets can be trained to outperform clinicians in many respects. AI’s effectiveness in accurate diagnosis of various medical conditions and medical image interpretation is well documented. Modern AI technology has the potential to transform medicine to a level never seen before in terms of efficiency and accuracy; but is also potentially highly disruptive, creating insecurity and allowing the transfer of expert domain knowledge to machines. Anesthetics is a complex medical discipline and assuming AI can easily replace experienced and knowledgeable medical practitioners is a very unrealistic expectation. AI can be used in anesthetics to develop, in some respects, more advanced clinical decision support tools based on machine learning. This paper focuses on the complexity of both AI developments, deep learning, neural networks, etc. and opportunities of AI in anesthetics for the future. It will review current advances in AI tools and hardware technologies as well as outlining how these can be used in the field of anesthetics. en_US
dc.language.iso eng en_US
dc.publisher Scientific Research Publishing en_US
dc.relation.ispartofseries Journal of Biosciences and Medicines;7, pp. 111-118
dc.relation.uri https://doi.org/10.4236/jbm.2019.711010
dc.rights First published by Scientific Research Publishing en_US
dc.subject anesthesiology en_US
dc.subject machine learning en_US
dc.subject pain management en_US
dc.title Future of artificial intelligence in anesthetics and pain management en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.4236/jbm.2019.711010
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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