Big Data in Dental Research and Oral Healthcare
Progress 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 expa...
Wedi'i Gadw mewn:
| Fformat: | Online |
|---|---|
| Iaith: | Saesneg |
| Cyhoeddwyd: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
|
| Pynciau: | |
| Mynediad Ar-lein: | ONIX_20210501_9783036504568_291 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
|
| _version_ | 1869530851725803520 |
|---|---|
| collection | Directory of Open Access Books |
| description | Progress 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, |
| format | Online |
| id | doab-20.500.12854ir-68545 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-685452024-03-31T13:10:16Z Big Data in Dental Research and Oral Healthcare Joda, Tim digital transformation rapid prototyping augmented and virtual reality (AR/VR) artificial intelligence (AI) machine learning (ML) personalized dental medicine tele-health patient-centered outcomes integrated care, medical–dental integration, simulation model, dental research oral medicine oral healthcare dentistry gerodontology elderly patient big data Big Data digital dentistry oral health ethical issues dental education augmented reality (AR) virtual reality (VR) artificial intelligence AI machine learning ML cone beam computed tomography (CBCT) intraoral scanning facial scanning healthcare cost medical healthcare cost dental healthcare cost zero-inflated model neural network thema EDItEUR::M Medicine and Nursing Progress 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, 2021-05-01T15:12:21Z 2021-05-01T15:12:21Z 2021 book ONIX_20210501_9783036504568_291 9783036504568 9783036504575 https://directory.doabooks.org/handle/20.500.12854/68545 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3566 https://mdpi.com/books/pdfview/book/3566 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0457-5 10.3390/books978-3-0365-0457-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036504568 9783036504575 112 Basel, Switzerland open access |
| spellingShingle | digital transformation rapid prototyping augmented and virtual reality (AR/VR) artificial intelligence (AI) machine learning (ML) personalized dental medicine tele-health patient-centered outcomes integrated care, medical–dental integration, simulation model, dental research oral medicine oral healthcare dentistry gerodontology elderly patient big data Big Data digital dentistry oral health ethical issues dental education augmented reality (AR) virtual reality (VR) artificial intelligence AI machine learning ML cone beam computed tomography (CBCT) intraoral scanning facial scanning healthcare cost medical healthcare cost dental healthcare cost zero-inflated model neural network thema EDItEUR::M Medicine and Nursing Big Data in Dental Research and Oral Healthcare |
| title | Big Data in Dental Research and Oral Healthcare |
| title_full | Big Data in Dental Research and Oral Healthcare |
| title_fullStr | Big Data in Dental Research and Oral Healthcare |
| title_full_unstemmed | Big Data in Dental Research and Oral Healthcare |
| title_short | Big Data in Dental Research and Oral Healthcare |
| title_sort | big data in dental research and oral healthcare |
| topic | digital transformation rapid prototyping augmented and virtual reality (AR/VR) artificial intelligence (AI) machine learning (ML) personalized dental medicine tele-health patient-centered outcomes integrated care, medical–dental integration, simulation model, dental research oral medicine oral healthcare dentistry gerodontology elderly patient big data Big Data digital dentistry oral health ethical issues dental education augmented reality (AR) virtual reality (VR) artificial intelligence AI machine learning ML cone beam computed tomography (CBCT) intraoral scanning facial scanning healthcare cost medical healthcare cost dental healthcare cost zero-inflated model neural network thema EDItEUR::M Medicine and Nursing |
| topic_facet | digital transformation rapid prototyping augmented and virtual reality (AR/VR) artificial intelligence (AI) machine learning (ML) personalized dental medicine tele-health patient-centered outcomes integrated care, medical–dental integration, simulation model, dental research oral medicine oral healthcare dentistry gerodontology elderly patient big data Big Data digital dentistry oral health ethical issues dental education augmented reality (AR) virtual reality (VR) artificial intelligence AI machine learning ML cone beam computed tomography (CBCT) intraoral scanning facial scanning healthcare cost medical healthcare cost dental healthcare cost zero-inflated model neural network thema EDItEUR::M Medicine and Nursing |
| url | ONIX_20210501_9783036504568_291 |