Clinical Research Directory

Evaluation of Treatment Outcomes of Interceptive Orthodontic Intervention for Class Iii Malocclusion Using Inclined Plane Appliance Combined With Variable Bracket Placement

Study Title: Evaluation of Treatment Outcomes of Interceptive Orthodontic Intervention for Class III Malocclusion Using Inclined Plane Appliance Combined With Variable Bracket Placement Objective: To evaluate the clinical and radiographic outcomes of interceptive orthodontic treatment for skeletal Class III malocclusion in children Participants: Children aged 7 to 12 years diagnosed with skeletal Class III malocclusion (ANB \< 0°, Wits \< -2mm) and cervical vertebral maturation stages CS1, CS2, or CS3, treated at the Ho Chi Minh City Hospital of Odonto-Stomatology from 2025 to 2026 Methodology: This is a descriptive study with a non-controlled clinical intervention The treatment involves the application of a fixed inclined plane appliance on the mandibular teeth combined with variable bracket placement (bonded at a 180-degree rotation) on the maxillary anterior teeth to promote the forward movement of the upper incisors and stimulate maxillary alveolar bone growth Evaluation: Treatment efficacy is assessed after 6 months by comparing skeletal, dental, and soft tissue changes using standardized lateral cephalometric radiographs and Cone Beam Computed Tomography (CBCT) Success is defined by achieving a positive overjet (≥2mm), overbite (≥2mm), and an Angle Class I molar relationship

Effects of Class III Elastics on Stability of Orthopaedic Class III Correction

The purpose of this study is to evaluate the effects of adding elastics to orthodontic retainers on the stability of class III correction and whether it reduces the need for jaw surgery.

Assesment of Ethnic Bias in an Artificial Intelligence Based Orthodontic Diagnosis System

This study explores how artificial intelligence (AI) can be used in orthodontics, which is the area of dentistry that focuses on correcting jaw and bite problems. AI is a computer technology that can learn from large amounts of data and then make predictions or decisions. It is already being tested in medicine and dentistry to help doctors and dentists diagnose conditions. For this study, the AI system was trained using photographs and X-rays from patients in Turkey. The system learned to recognize specific orthodontic skeletal malocclusions. After the training stage, the AI was tested in two groups: one group included Turkish patients whose records were not used in training, and the other group included patients from different ethnic backgrounds who were treated at a clinic in Belgium. This design allows researchers to see if the AI works equally well for people of different backgrounds. Only photographs and X-rays taken before orthodontic treatment are used in the study, and all data are anonymized so that no personal information is shared. The images must meet certain quality standards. For example the head must be in natural position, with no beards, scars, or previous orthodontic treatment that might affect the image. Patients who do not meet these criteria are not included. The AI program analyzes the profile photographs, prepares them for evaluation by adjusting and standardizing the images, and then tries to decide each patient has which malocclusion. The results from Turkish patients and patients from other ethnic groups are compared to see if the system makes fair and accurate decisions for everyone. The purpose of this study is not to test a new treatment, but to understand how well AI can recognize orthodontic problems in different populations. This information is important because AI systems are increasingly being used in healthcare, and they need to be fair and accurate for all patients, not just those from one group. By participating, patients help researchers learn whether AI in orthodontics is reliable across diverse communities. This knowledge can guide future improvements in AI technology, ensuring that it supports orthodontists in providing safe, equal, and effective care for everyone.