Cloud Driven Big Data Synergy in Dentistry
Authors
Deepa Palaninadan1, *, N. Aravindha Babu1, R. Jayasrikrupaa1, C. Ramya1, S. Munira Banu1
1Department of Oral and Maxillofacial Pathology and Oral Microbiology, Sree Balaji Dental College and Hospital, Bharath Institute of Higher Education and Research (BIHER), Bharath University, Chennai, Tamil Nadu, India
*Corresponding author.
Email: deepadocpals@gmail.com
Corresponding Author
Deepa Palaninadan
Available Online 24 April 2026.
- DOI
- 10.2991/978-94-6239-654-8_11How to use a DOI?
- Keywords
- Dentistry 4.0; digital dentistry; big data; electronic health records; cloud; predictive pattern
- Abstract
Cloud driven big data synergy has changed the dental healthcare system. With the integration of AI, it has ushered in dentistry 4.0 where artificial intelligence and machine learning will identify patterns to help in diagnosis and management of oral diseases. The increasing requirements for appointments have pushed dental healthcare providers to digitalize their practice generating volumes of data every day. The storage of large sets of data in cloud has enabled a smooth flow in patient care, access to patient files and tele dentistry.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Deepa Palaninadan AU - N. Aravindha Babu AU - R. Jayasrikrupaa AU - C. Ramya AU - S. Munira Banu PY - 2026 DA - 2026/04/24 TI - Cloud Driven Big Data Synergy in Dentistry BT - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025) PB - Atlantis Press SP - 121 EP - 129 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6239-654-8_11 DO - 10.2991/978-94-6239-654-8_11 ID - Palaninadan2026 ER -