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

Jin Xiao 1, MS, PhD, DDS;  Jiebo Luo 2, PhD;  Oriana Ly-Mapes 1, DDS;  Tong Tong Wu 3, PhD;  Timothy Dye 4, PhD;  Nisreen Al Jallad 1, DDS;  Peirong Hao 2;  Jinlong Ruan 2;  Sherita Bullock 5, BSc;  Kevin Fiscella 6, MPH, MD

1 Eastman Institute for Oral Health, University of Rochester , Rochester, NY, US

2 Computer Science, University of Rochester , Rochester, NY, US

3 Department of Biostatistics and Computational Biology, University of Rochester Medical Center , Rochester, NY, US

4 Department of Obstetrics and Gynecology, University of Rochester Medical Center , Rochester, NY, US

5 Healthy Baby Network , Rochester, NY, US

6 Department of Family Medicine, University of Rochester Medical Center , Rochester, NY, US

Corresponding Author: