Artificial Intellegence Rivals Digital Bitewing in Detect Secondary Caries

Launched by CAIRO UNIVERSITY · Oct 30, 2024

Keywords

ClinConnect Summary

This clinical trial is exploring how well artificial intelligence (AI) can detect secondary caries, which are new cavities that can form around existing dental restorations. The study will compare AI analysis of dental images to traditional methods using digital bitewing radiographs, which are special X-rays of the teeth. Participants will have their teeth imaged under controlled conditions, and experienced dental professionals will interpret these images to ensure accuracy. The AI models used in this study have been trained on a large set of labeled images to improve their performance.

To participate, you need to be an adult between 22 and 60 years old and have existing dental restorations, like fillings. You should also be willing to cooperate and engage in the study. However, if you have braces, bridges, or other dental work that could interfere with the evaluation, or if you do not have any cavities, you won't be eligible. This trial is currently not recruiting participants yet, but it aims to understand how AI can assist in detecting dental issues more reliably in the future.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • 1. Adult Patients Aged 22-60 Patient
• • 2. Males or females.
• • 3. Patients have proximal restorations.
• • 4. Co-operative patients who show interest in participating in the study.
• Exclusion Criteria:
• • 1. Patients with orthodontic appliances, or bridge work that might interfere with evaluation
• • 2. Patients with no caries.
• • 3. Systematic disease that may affect participation.
• • 4. Patients not willing to be part of the study or ones who refuse to sign the informed consent.