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

Non-randomized Protocols and Methods (ehealth) (445) Dental Sciences (67) Artificial Intelligence (711) Human Factors and Usability Case Studies (532) User-centred Design Case Studies (475) Consumer & Patient Education and Shared-Decision Making (530) Chronic Disease Self-Management in Childhood and Adolescence (86) Health Services in Resource-Poor Settings and LMICs (307) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (427) Prevention and Health Promotion (480) Design and Evaluation of Patient Education Materials (43) mHealth for Patient Education (184)

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 Xiao 1 Author Orcid Image ;   Jiebo Luo 2 Author Orcid Image ;   Oriana Ly-Mapes 1 Author Orcid Image ;   Tong Tong Wu 3 Author Orcid Image ;   Timothy Dye 4 Author Orcid Image ;   Nisreen Al Jallad 1 Author Orcid Image ;   Peirong Hao 2 Author Orcid Image ;   Jinlong Ruan 2 Author Orcid Image ;   Sherita Bullock 5 Author Orcid Image ;   Kevin Fiscella 6 Author Orcid Image
Article Authors Cited by (8) Tweetations (4) 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

Books/Policy Documents

  1. Shaikh K, Vivek Bekal S, Marei H, Elsayed W, Surdilovic D, Jawad L. Artificial Intelligence in Dentistry. View