According to Basic Health Research (RISKESDAS) data in 2018, more than half of Indonesia’s population has dental problems, and only about 7% of children in Indonesia are cavity-free. Sadly, only 10% of the population seeks dental care, partly because they are unaware of oral health issues.
Following this data, the research team from the UGM Faculty of Engineering led by Dr. Igi Ardiyanto took the initiative to find a digital solution for the early detection of dental problems. Together with Ceria Inovasi Internasional (KLINIKOO), the team created an AI-enabled digital application called KLINIKOO Dental Scanning.
“We conducted research using computer vision and machine learning and developed an AI algorithm that can analyze dental images and detect cavities from the images, imitating what dentists do,” said Dr. Igi on Friday (23 /12).
The research and development activity was initiated in 2021 through the Joint Research Internship program among the UGM Department of Electrical Engineering and Information Technology, Toyohashi University of Technology Japan, and KLINIKOO. At this early stage, the team created a basic dental problem prediction technology prototype, albeit with limited accuracy.
With the Ministry of Education and Culture’s 2022 Kedaireka Matching Fund, the team can improve the accuracy of their app, obtain a much more significant amount of data, up to 10,000 dental photos, and conduct more intensive research in AI algorithms.
“(The matching fund) helped us improve our results, giving birth to an AI-enabled app that is 80% accurate to detect cavities from photos,” he said.
Currently, this application is still in the testing phase. However, people can try it for free at https://ugm.id/klinikoo. In addition, this application will also be released soon on the Google Play Store. KLINIKOO CEO M. Andy Zaky hopes this application can help people detect their dental problems early.
“We invite the public to try this initial version of the app and provide suggestions for us so we can improve it,” said Andy.