Application of AI in Dental Epidemiology for Automated Data Collection and Analysis in Large-Scale Surveys

Vikas Singh; Ankita Jain; E. S. Shobha; Sivan Satish; Jeny Mary George

doi:10.4018/979-8-2600-0986-4.ch009

Application of AI in Dental Epidemiology for Automated Data Collection and Analysis in Large-Scale Surveys

Vikas Singh
, Ankita Jain
, E. S. Shobha
, Sivan Satish
, Jeny Mary George

College of Dentistry

Teerthanker Mahaveer University
Dayananda Sagar Institutions

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Artificial Intelligence (AI) may alter dental epidemiological surveys by improving data collecting efficiency and diagnostic accuracy, as shown in this comprehensive study. Our multi-center study of 15,847 participants from 127 dental practices found that AI-powered platforms detect caries with 94.2% accuracy and reduce data collection time by 73%, establishing a new paradigm for population-level oral health surveillance. Examiner variability, data collection time, and scalability are issues with traditional dental epidemiology studies. AI can automate data gathering and analysis in large-scale oral health surveillance. versus compare an AI-powered platform for dental epidemiological survey data collection and analysis versus manual techniques. A multi-center prospective study was conducted in 127 English dental clinics from January 2023 to December 2024. In the study, 15,847 people aged 18–75 participated. An AI-enabled mobile app using deep learning techniques collected dental exam data automatically.

Original language	English
Title of host publication	Coresource 4
Publisher	IGI Global Scientific Publishing
Pages	273-291
Number of pages	19
ISBN (Electronic)	9798260009888
ISBN (Print)	9798260009864, 9798260009871
DOIs	https://doi.org/10.4018/979-8-2600-0986-4.ch009
State	Published - 2026

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title = "Application of AI in Dental Epidemiology for Automated Data Collection and Analysis in Large-Scale Surveys",

abstract = "Artificial Intelligence (AI) may alter dental epidemiological surveys by improving data collecting efficiency and diagnostic accuracy, as shown in this comprehensive study. Our multi-center study of 15,847 participants from 127 dental practices found that AI-powered platforms detect caries with 94.2\% accuracy and reduce data collection time by 73\%, establishing a new paradigm for population-level oral health surveillance. Examiner variability, data collection time, and scalability are issues with traditional dental epidemiology studies. AI can automate data gathering and analysis in large-scale oral health surveillance. versus compare an AI-powered platform for dental epidemiological survey data collection and analysis versus manual techniques. A multi-center prospective study was conducted in 127 English dental clinics from January 2023 to December 2024. In the study, 15,847 people aged 18{\textendash}75 participated. An AI-enabled mobile app using deep learning techniques collected dental exam data automatically.",

author = "Vikas Singh and Ankita Jain and Shobha, \{E. S.\} and Sivan Satish and George, \{Jeny Mary\}",

note = "Publisher Copyright: Copyright {\textcopyright} 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.",

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AU - Singh, Vikas

AU - Jain, Ankita

AU - Shobha, E. S.

AU - Satish, Sivan

AU - George, Jeny Mary

N1 - Publisher Copyright: Copyright © 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.

PY - 2026

Y1 - 2026

N2 - Artificial Intelligence (AI) may alter dental epidemiological surveys by improving data collecting efficiency and diagnostic accuracy, as shown in this comprehensive study. Our multi-center study of 15,847 participants from 127 dental practices found that AI-powered platforms detect caries with 94.2% accuracy and reduce data collection time by 73%, establishing a new paradigm for population-level oral health surveillance. Examiner variability, data collection time, and scalability are issues with traditional dental epidemiology studies. AI can automate data gathering and analysis in large-scale oral health surveillance. versus compare an AI-powered platform for dental epidemiological survey data collection and analysis versus manual techniques. A multi-center prospective study was conducted in 127 English dental clinics from January 2023 to December 2024. In the study, 15,847 people aged 18–75 participated. An AI-enabled mobile app using deep learning techniques collected dental exam data automatically.

AB - Artificial Intelligence (AI) may alter dental epidemiological surveys by improving data collecting efficiency and diagnostic accuracy, as shown in this comprehensive study. Our multi-center study of 15,847 participants from 127 dental practices found that AI-powered platforms detect caries with 94.2% accuracy and reduce data collection time by 73%, establishing a new paradigm for population-level oral health surveillance. Examiner variability, data collection time, and scalability are issues with traditional dental epidemiology studies. AI can automate data gathering and analysis in large-scale oral health surveillance. versus compare an AI-powered platform for dental epidemiological survey data collection and analysis versus manual techniques. A multi-center prospective study was conducted in 127 English dental clinics from January 2023 to December 2024. In the study, 15,847 people aged 18–75 participated. An AI-enabled mobile app using deep learning techniques collected dental exam data automatically.

UR - https://www.scopus.com/pages/publications/105040289097

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ER -

Application of AI in Dental Epidemiology for Automated Data Collection and Analysis in Large-Scale Surveys

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