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, United States

2 Computer Science, University of Rochester, Rochester, NY, United States

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

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

5 Healthy Baby Network, Rochester, NY, United States

6 Department of Family Medicine, University of Rochester Medical Center, Rochester, NY, United States

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