Deep Learning to Summarize Findings in Dental Panoramic Radiographs

NCT ID: NCT04894201

Last Updated: 2021-05-20

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

1000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-05-07

Study Completion Date

2023-05-31

Brief Summary

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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.

Detailed Description

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Conditions

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Radiography Digital Dental Diseases Dentist-Patient Relations

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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All patients with relevant dental findings

Dental Panoramic Radiographs

Intervention Type RADIATION

Exposure to dental panoramic radiographs

Interventions

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Dental Panoramic Radiographs

Exposure to dental panoramic radiographs

Intervention Type RADIATION

Eligibility Criteria

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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
Minimum Eligible Age

20 Years

Maximum Eligible Age

100 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National Taiwan University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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National Taiwan University Hospital

Taipei, , Taiwan

Site Status

Countries

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Taiwan

Other Identifiers

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202102018RINB

Identifier Type: -

Identifier Source: org_study_id

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