Assessing the Precision of Convolutional Neural Networks for Dental Age Estimation From Panoramic Radiographs

Launched by CAIRO UNIVERSITY · Jun 4, 2023

Keywords

ClinConnect Summary

This clinical trial is studying how well a special computer program, called a convolutional neural network, can estimate a person's dental age by looking at their panoramic dental X-rays. The researchers want to see if this technology can accurately determine a person's dental age compared to their actual age. This information could help in situations where knowing a person’s age is important for their dental care.

To participate in this study, you must be between 2 and 58 years old and have all of your lower left permanent teeth, except for the third molars (wisdom teeth). It’s also important that your teeth show clear signs of root development and that you don’t have any diseases or past dental surgeries that could affect the results. If you qualify and choose to join, you will have a dental X-ray taken, which is a simple and quick process. This trial is currently looking for volunteers, and everyone, regardless of gender, is welcome to apply.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Presence of all mandibular left permanent teeth (except third molars)
• • Clearly visible root development
• • No systemic disease
• • No history of root canal therapy or extraction
• • No related diseases affecting mandibular development such as cysts or tumors.
• Exclusion Criteria:
• • Patients with premature birth
• • Facial asymmetry
• • Congenital anomalies
• • History of trauma or surgery in dentofacial region