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- Publisher Website: 10.1136/svn-2017-000101
- Scopus: eid_2-s2.0-85050483912
- PMID: 29507784
- WOS: WOS:000505205500008
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Article: Artificial intelligence in healthcare: Past, present and future
Title | Artificial intelligence in healthcare: Past, present and future |
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Authors | |
Issue Date | 2017 |
Publisher | B M J Group. The Journal's web site is located at http://svn.bmj.com/ |
Citation | Stroke and Vascular Neurology, 2017, v. 2 n. 4, p. 230-243 How to Cite? |
Abstract | Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. We then review in more details the AI applications in stroke, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prognosis evaluation. We conclude with discussion about pioneer AI systems, such as IBM Watson, and hurdles for real-life deployment of AI. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. |
Persistent Identifier | http://hdl.handle.net/10722/261879 |
ISSN | 2023 Impact Factor: 4.4 2023 SCImago Journal Rankings: 1.857 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Jiang, F | - |
dc.contributor.author | Jiang, Y | - |
dc.contributor.author | Zhi, H | - |
dc.contributor.author | Dong, Y | - |
dc.contributor.author | Li, H | - |
dc.contributor.author | Ma, S | - |
dc.contributor.author | Dong, Q | - |
dc.contributor.author | Shen, H | - |
dc.contributor.author | Wang, Y | - |
dc.contributor.author | Wang, Y | - |
dc.date.accessioned | 2018-09-28T04:49:41Z | - |
dc.date.available | 2018-09-28T04:49:41Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Stroke and Vascular Neurology, 2017, v. 2 n. 4, p. 230-243 | - |
dc.identifier.issn | 2059-8688 | - |
dc.identifier.uri | http://hdl.handle.net/10722/261879 | - |
dc.description.abstract | Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. We then review in more details the AI applications in stroke, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prognosis evaluation. We conclude with discussion about pioneer AI systems, such as IBM Watson, and hurdles for real-life deployment of AI. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. | - |
dc.language | eng | - |
dc.publisher | B M J Group. The Journal's web site is located at http://svn.bmj.com/ | - |
dc.relation.ispartof | Stroke and Vascular Neurology | - |
dc.rights | Stroke and Vascular Neurology. Copyright © B M J Group. | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Artificial intelligence in healthcare: Past, present and future | - |
dc.type | Article | - |
dc.identifier.email | Jiang, F: feijiang@hku.hk | - |
dc.identifier.email | Zhi, H: hzhi@hku.hk | - |
dc.identifier.email | Shen, H: haipeng@hku.hk | - |
dc.identifier.authority | Jiang, F=rp02185 | - |
dc.identifier.authority | Shen, H=rp02082 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1136/svn-2017-000101 | - |
dc.identifier.pmid | 29507784 | - |
dc.identifier.scopus | eid_2-s2.0-85050483912 | - |
dc.identifier.hkuros | 292309 | - |
dc.identifier.hkuros | 292308 | - |
dc.identifier.volume | 2 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 230 | - |
dc.identifier.epage | 243 | - |
dc.identifier.isi | WOS:000505205500008 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 2059-8688 | - |