Clinical Research Directory

Surface Caries Feature Study

Dental caries (dental cavity) is very common and can impact oral health and oral health-related quality of life. Dental caries is when the tooth surfaces break down, and if left untreated, can cause tooth pain. In routine clinical practice, dental professionals typically assess caries lesions by looking at patients' teeth, touching the areas of interest with a dental probe, and running a probe over the teeth to check the buildup of bacteria. Dentists often use x-rays to help find cavities, and they can also take pictures of the teeth to show what the problem looks like. New tools called intraoral scanners are becoming more useful for finding cavities. These scanners do not use radiation and do not hurt. Some computer programs that use artificial intelligence (AI) can also help dentists find cavities. AI can study the spots on patients' teeth and help make better, faster decisions. The purpose of this study is to collect data that will be used to develop and test an AI software that can help dentists in the detection of caries.

Coronal and Radicular Caries Prevalence and Related Risk Factor in Diabetic Patient

This study aims to investigate the prevalence and risk factors of coronal and radicular caries in middle-aged individuals with Type 2 diabetes. It focuses on how poor blood sugar control, reduced saliva production, increased plaque accumulation, and periodontal disease contribute to a higher risk of dental decay in this population. The study examines the relationship between glycemic control (e.g., HbA1c levels) and the severity of caries, as well as the impact of diabetes-related changes in oral health, such as gum recession and dry mouth, on the development of both coronal and radicular caries. The findings could inform preventive strategies and dental care guidelines tailored for diabetic patients.