This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (564) Dental Sciences (117) Artificial Intelligence (1337) Human Factors and Usability Case Studies (773) User-centred Design Case Studies (588) Consumer & Patient Education and Shared-Decision Making (669) Chronic Disease Self-Management in Childhood and Adolescence (138) Health Services in Resource-Poor Settings and LMICs (407) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (558) Prevention and Health Promotion (959) Design and Evaluation of Patient Education Materials (69) mHealth for Patient Education (227)

Published on in Vol 10, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32921, first published .
Assessing a Smartphone App (AICaries) That Uses Artificial Intelligence to Detect Dental Caries in Children and Provides Interactive Oral Health Education: Protocol for a Design and Usability Testing Study

Assessing a Smartphone App (AICaries) That Uses Artificial Intelligence to Detect Dental Caries in Children and Provides Interactive Oral Health Education: Protocol for a Design and Usability Testing Study

Assessing a Smartphone App (AICaries) That Uses Artificial Intelligence to Detect Dental Caries in Children and Provides Interactive Oral Health Education: Protocol for a Design and Usability Testing Study

Authors of this article:

Jin Xiao1 Author Orcid Image ;   Jiebo Luo2 Author Orcid Image ;   Oriana Ly-Mapes1 Author Orcid Image ;   Tong Tong Wu3 Author Orcid Image ;   Timothy Dye4 Author Orcid Image ;   Nisreen Al Jallad1 Author Orcid Image ;   Peirong Hao2 Author Orcid Image ;   Jinlong Ruan2 Author Orcid Image ;   Sherita Bullock5 Author Orcid Image ;   Kevin Fiscella6 Author Orcid Image
Article Authors Cited by (18) Tweetations (3) Metrics

Journals

  1. Azimi S, Estai M, Patel J, Silva D. The feasibility of a digital health approach to facilitate remote dental screening among preschool children during COVID‐19 and social restrictions. International Journal of Paediatric Dentistry 2023;33(3):234 View
  2. Di Spirito F, Amato A, Di Palo M, Ferraro G, Baroni A, Serpico R, Contaldo M. COVID-19 Related Information on Pediatric Dental Care including the Use of Teledentistry: A Narrative Review. Children 2022;9(12):1942 View
  3. Al-Jallad N, Ly-Mapes O, Hao P, Ruan J, Ramesh A, Luo J, Wu T, Dye T, Rashwan N, Ren J, Jang H, Mendez L, Alomeir N, Bullock S, Fiscella K, Xiao J, Chua Chin Heng M. Artificial intelligence-powered smartphone application, AICaries, improves at-home dental caries screening in children: Moderated and unmoderated usability test. PLOS Digital Health 2022;1(6):e0000046 View
  4. Kolokythas A. Can Artificial Intelligence (AI) assist in the diagnosis of oral mucosal lesions and/or oral cancer?. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2022;134(4):413 View
  5. Xiao J, Meyerowitz C, Ragusa P, Funkhouser K, Lischka T, Mendez Chagoya L, Al Jallad N, Wu T, Fiscella K, Ivie E, Strange M, Collins J, Kopycka-Kedzierawski D. Assessment of an Innovative Mobile Dentistry eHygiene Model Amid the COVID-19 Pandemic in the National Dental Practice–Based Research Network: Protocol for Design, Implementation, and Usability Testing. JMIR Research Protocols 2021;10(10):e32345 View
  6. Surdilovic D, Abdelaal H, D'Souza J. Using artificial intelligence in preventive dentistry: A narrative review. Journal of Datta Meghe Institute of Medical Sciences University 2023;18(1):146 View
  7. TAY J, NG E, CHOW D, SIM C. The use of artificial intelligence to aid in oral hygiene education: A scoping review. Journal of Dentistry 2023;135:104564 View
  8. Xiao J, Kopycka-Kedzierawski D, Ragusa P, Mendez Chagoya L, Funkhouser K, Lischka T, Wu T, Fiscella K, Kar K, Al Jallad N, Rashwan N, Ren J, Meyerowitz C. Acceptance and Usability of an Innovative mDentistry eHygiene Model Amid the COVID-19 Pandemic Within the US National Dental Practice-Based Research Network: Mixed Methods Study. JMIR Human Factors 2023;10:e45418 View
  9. Pohanka M. Current trends in digital camera-based bioassays for point-of-care tests. Clinica Chimica Acta 2024;552:117677 View
  10. Hartman H, Nurdin D, Akbar S, Cahyanto A, Setiawan A. Exploring the potential of artificial intelligence in paediatric dentistry: A systematic review on deep learning algorithms for dental anomaly detection. International Journal of Paediatric Dentistry 2024;34(5):639 View
  11. Detsomboonrat P, Pisarnturakit P. Time Efficiency, Reliability, and User Satisfaction of the Tooth Memo App for Recording Oral Health Information: Cross-Sectional Questionnaire Study. JMIR Formative Research 2024;8:e56143 View
  12. Roayaei Ardakani M, Khataminia M, Rahimi S. Evaluation of the Prevalence of Dental Anomalies Among Children Through Panoramic Radiographs for Five Years in Ahvaz, Iran. Journal of Health Reports and Technology 2024;10(2) View
  13. Özkal Eminoğlu D, Şahin B, Biçer D, Dal G, Huseynlı I, Dadashov A, Betül Doğan D, Kaşali K. Using patients’ oral photographs for oral hygiene motivation promotes periodontal health: a prospective randomized controlled trial. BMC Oral Health 2024;24(1) View
  14. Nur Ijazati K, . S, Eko Ningtyas E. Denta Go Model: An Effective Approach to Improving Tooth Brushing Skills and Dental Hygiene Status of Preschool Children. International Journal of Innovative Science and Research Technology (IJISRT) 2024:530 View

Books/Policy Documents

  1. Shaikh K, Vivek Bekal S, Marei H, Elsayed W, Surdilovic D, Jawad L. Artificial Intelligence in Dentistry. View
  2. Cristache C, Mihut T, Burlacu-Vatamanu O, Sgiea E. Leveraging Digital Technology for Preventive Dentistry. View