Artificial Intelligence Evaluation of Fillings

NCT06022731 — Completed, 4323 participants, Eskisehir Osmangazi University

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

Registry	NCT06022731
Status	Completed
Study type	Observational
Enrollment	4323 (Actual)
Sponsor	Eskisehir Osmangazi University (Other)
Conditions	Dentomaxillofacial Radiology
Interventions	Panoramic Radiography (Diagnostic test)
Dates	start 2022-01-01, primary completion 2023-01-01, completion 2023-03-01, first posted 2023-09-05, last updated 2023-09-05
Locations	1 site in Turkey (Türkiye)

-Summary

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.

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+Arms and interventions

Arm	Type	Interventions	Description
Filling		Diagnostic Test: Panoramic Radiography
Overhanging Filling		Diagnostic Test: Panoramic Radiography

Panoramic Radiography (Diagnostic test): this retrospective study includes analysis of radiographs previously taken from patients for various purposes

+Outcome measures

Primary outcomes

The success of artificial intelligence models for filling and overhanging filling [1 year]: It is obtained by calculating the sensitivity, precision, and F1 scores values for filling and overhanging filling.

+Eligibility

Sex: All

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

+Locations (1)

Facility	City	Country	Status
Eskişehir Osmangazi University	Eskişehir	Turkey (Türkiye)