ABSTRACT
Aim and objectives: This study presents a community-based participatory research (CBPR) strategy to refine and test the usability of an artificial intelligence (AI) and machine learning (ML)-powered dental technology and it’s smartphone mobile app version called as DentalFriend for dental disease detection.
Methodology:The study involved two phases: refinement of the app using a CBPR approach and usability testing of the refined app among a sample of 1000 individuals from the community
Results:Descriptive statistics and subgroup analyses were used to analyze the data collected in the study, which showed a 99% precision in detecting dental diseases.
Conclusions: The study highlights the potential of using a CBPR approach in developing AI and ML-powered health-care apps that meet the needs and preferences of the community.
Keywords:Artificial intelligence, Community-based participatory research, Dental diseases, DentalFriend app, DentalFriend, Precision, Smartphone app, Usability testing