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

Non-randomized Protocols and Methods (ehealth) (358) Dental Sciences (54) Artificial Intelligence (478) Human Factors and Usability Case Studies (480) User-centred Design Case Studies (408) Consumer & Patient Education and Shared-Decision Making (481) Chronic Disease Self-Management in Childhood and Adolescence (76) Health Services in Resource-Poor Settings and LMICs (242) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (358) Prevention and Health Promotion (336) Design and Evaluation of Patient Education Materials (35) mHealth for Patient Education (158)

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
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