Artificial Intelligence Evaluation of Fillings

August 31, 2023 updated by: Elif Bilgir, Eskisehir Osmangazi University

A Yolo-V5 Approaches to Evaluation of Filling and Overhanging Filling: An Artificial Intelligence Study

The goal of this Non-Interventional Clinical Research is to detect the prevalence and distribution of filling and overhanging filling without the need for additional bitewing radiographs using panoramic images, based on a deep CNN (Convolutional Neural Network) architecture trained through supervised learning.

In this study, retrospectively obtained radiographs were used in the development of artificial intelligence models for relevant situations. These datasets were obtained from the images of the patients who applied to ESOGU (Eskişehir Osmangazi University) Dentistry Faculty, Dentomaxillofacial Radiology clinic for various dental purposes. Eskisehir Osmangazi University Non-Interventional Clinical Research Ethics Board (decision date and decision number: 04.10.2022/22) approved the study protocol. The principles of the Helsinki Declaration were followed in the study.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

4323

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Eskişehir, Turkey, 26200
        • Eskisehir Osmangazi University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Probability Sample

Study Population

These datasets were obtained from the images of the patients who applied to ESOGU Dentistry Faculty, Dentomaxillofacial Radiology clinic for various dental purposes.

Description

Inclusion Criteria:

  • Images of individuals in the permanent dentition period
  • Artifact-free images in the examination region
  • Individuals with a history of restorative dental treatment

Exclusion Criteria:

  • Images of individuals in mixed dentition
  • Radiographic images obtained by incorrect positioning of the patient or containing artifacts

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Filling
this retrospective study includes analysis of radiographs previously taken from patients for various purposes
Overhanging Filling
this retrospective study includes analysis of radiographs previously taken from patients for various purposes

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The success of artificial intelligence models for filling and overhanging filling
Time Frame: 1 year
It is obtained by calculating the sensitivity, precision, and F1 scores values for filling and overhanging filling.
1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2022

Primary Completion (Actual)

January 1, 2023

Study Completion (Actual)

March 1, 2023

Study Registration Dates

First Submitted

August 8, 2023

First Submitted That Met QC Criteria

August 31, 2023

First Posted (Actual)

September 5, 2023

Study Record Updates

Last Update Posted (Actual)

September 5, 2023

Last Update Submitted That Met QC Criteria

August 31, 2023

Last Verified

August 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • Retrospective

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

The investigators plan to publish the findings obtained as a result of the study in internationally journals and share this information within the publication.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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