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035   $a(CKB)5400000000040820
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68545
035   $a(EXLCZ)995400000000040820
100   $a20202105d2021      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBig Data in Dental Research and Oral Healthcare
210   $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021
215   $a1 electronic resource (112 p.)
311   $a3-0365-0456-7 
311   $a3-0365-0457-5 
330   $aProgress in information technology has fostered a global explosion of data generation. Accumulated big data are now estimated to be 4.4 zettabytes in the digital universe; and trends predict an exponential increase in the future. Health data are gathered from professional routine care and other expanded sources including the social determinants of health, such as Internet of Things. Biomedical research has recently moved through three stages in digital healthcare: (1) data collection; (2) data sharing; and (3) data analytics. With the explosion of stored health data, dental medicine is edging into its fourth stage of digitization using new technologies including augmented and virtual reality, artificial intelligence, and blockchain. Big data collaborations involve interactions between a diverse range of stakeholders with analytical, technical and political focus. In oral healthcare, data technology has many areas of application: prognostic analysis and predictive modeling, the identification of unknown correlations of diseases, clinical decision support for novel treatment concepts, public health surveys and population-based clinical research, as well as the evaluation of healthcare systems. The objective of this Special Issue is to provide an update on the current knowledge with state-of-the-art theory and practical information on human and social perspectives that determine the uptake of technological innovations in big data science in the field of dental medicine. Moreover, it will focus on the identification of future research needs to manage the continuous increase in health data and to accomplish its clinical translation for patient-centered research and personalized dentistry. This Special Issue welcomes all types of studies and reviews considering the perspectives of different stakeholders on technological innovations for big data science in all dental disciplines. Kind regards,
606   $aMedicine$2bicssc
610   $adigital transformation
610   $arapid prototyping
610   $aaugmented and virtual reality (AR/VR)
610   $aartificial intelligence (AI)
610   $amachine learning (ML)
610   $apersonalized dental medicine
610   $atele-health
610   $apatient-centered outcomes
610   $aintegrated care, medical?dental integration, simulation model, dental research
610   $aoral medicine
610   $aoral healthcare
610   $adentistry
610   $agerodontology
610   $aelderly patient
610   $abig data
610   $aBig Data
610   $adigital dentistry
610   $aoral health
610   $aethical issues
610   $adental education
610   $aaugmented reality (AR)
610   $avirtual reality (VR)
610   $aartificial intelligence
610   $aAI
610   $amachine learning
610   $aML
610   $acone beam computed tomography (CBCT)
610   $aintraoral scanning
610   $afacial scanning
610   $ahealthcare cost
610   $amedical healthcare cost
610   $adental healthcare cost
610   $azero-inflated model
610   $aneural network
615  7$aMedicine
700   $aJoda$b Tim$4edt$01326442
702   $aJoda$b Tim$4oth
906   $aBOOK
912   $a9910557123403321
996   $aBig Data in Dental Research and Oral Healthcare$93038778
997   $aUNINA