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

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

Books/Policy Documents

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