Artificial Intelligence Transforms the Future of Health Care.
Life sciences researchers using artificial intelligence (AI) are under pressure to innovate faster than ever. Large, multilevel, and integrated data sets offer the promise of unlocking novel insights and accelerating breakthroughs. Although more data are available than ever, only a fraction is being...
| Publicado en: | American Journal of Medicine Vol. 132; no. 7; pp. 795 - 802 |
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| Autores principales: | , , , |
| Formato: | review Journal Article |
| Publicado: |
Excerpta Medica Publishing Group
Jul2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137946732&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137946732 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00029343 AJM jtl: American Journal of Medicine issn: 00029343 maglogo: N pubinfo: dt: Jul2019 vid: 132 iid: 7 pid: 1688 pub: Excerpta Medica Publishing Group artinfo: ui: 137946732 137946732 NLM30710543 137946732 10.1016/j.amjmed.2019.01.017 NLM30710543 137946732 ppf: 795 ppct: 7 formats: tig: atl: Artificial Intelligence Transforms the Future of Health Care. aug: au: Noorbakhsh-Sabet, Nariman Zand, Ramin Zhang, Yanfei Abedi, Vida affil: St. Jude Children's Research Hospital, Memphis, Tenn sug: subj: Artificial Intelligence Trends Health Care Delivery Trends Health Care Delivery Methods Decision Support Systems, Clinical Trends Drug Discovery Trends Disease Outbreaks Prevention and Control Forecasting Research, Medical Trends Scales ab: Life sciences researchers using artificial intelligence (AI) are under pressure to innovate faster than ever. Large, multilevel, and integrated data sets offer the promise of unlocking novel insights and accelerating breakthroughs. Although more data are available than ever, only a fraction is being curated, integrated, understood, and analyzed. AI focuses on how computers learn from data and mimic human thought processes. AI increases learning capacity and provides decision support system at scales that are transforming the future of health care. This article is a review of applications for machine learning in health care with a focus on clinical, translational, and public health applications with an overview of the important role of privacy, data sharing, and genetic information. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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