Deep Learning to Summarize Findings in Dental Panoramic Radiographs

National Taiwan University

Status: Unknown

Conditions: Digital; Radiography; Dentist-Patient Relations; Dental Diseases

Treatments: Radiation: Dental Panoramic Radiographs

Study type: Observational

Funder types: Other

Identifiers

NCT04894201

202102018RINB

Details and patient eligibility

About

In this work, the investigators study the application of artificial intelligence systems on dental panoramic images for dental findings. An artificial intelligence system will be learned on an publicly available panoramic image dataset, and test against the investigators' local patient cohort as external test data. The investigators hypothesize the performance would be similar, if not identical to on the public data, and that the investigators' AI system is generalizable.

Enrollment: 1,000 estimated patients

Sex: All

Ages: 20 to 100 years old

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Exclusion Criteria:

• patients under 20 or with primary teeth
• patients with non-removable metal accessory above neck, such as tongue ring, nose ring etc.
• patients with mandible or maxilla deformation

Trial design

1,000 participants in 1 patient group

All patients with relevant dental findings

Treatment:

Radiation: Dental Panoramic Radiographs