Artificial Intelligence Supported Intraoral Scanning.

NCT05545696 | Completed

• 1 other identifier: KA-21086
• Study Type: interventional
• Target: 21
• Locations: 1 country
• Sites: 1

Brief Summary

Digitization (automation) of production stages with Computer-Aided Design and Computer-Aided Manufacturing (CAD/CAM) technologies has led to a digital revolution in dentistry, as in many other fields of the industry. In current dentistry, the digitalization process can be defined as direct and indirect workflow. The clinical reliability and success of the indirect digital workflow made possible by these technologies have been proven by scientific studies. With the development of intraoral scanners (IOS), a virtual model is obtained by direct digitalization. This method eliminated the conventıonale impression and dental cast model steps required for indirect digitalization. Intraoral scanners are used as an alternative to convantıonal impressions in single and short edentulous cases. It has already been emphasized that direct digitalization is a reliable alternative to the conventional impression method, as the clinical applicability, accuracy, and precision of the manufactured restorations have been scientifically verified. Therefore, the clinical use of direct digitalization is increasing (exponentially) day by day, and new upgraded versions of software, along with various modifications for the hardware equipment, are being developed. Integrating artificial intelligence (AI) supported software into the intraoral scanning process can be seen as the beginning of a new era for direct digitalization. Therefore the aim of this study is to evaluate the effect of artificial intelligence on the scanning time, the amount of data collected, and the image accuracy obtained.

Conditions

Impression Technic, Dental

Keywords

intraoral scanner; digitalization; Artificial intelligence

Outcome Measures

Primary Outcomes (1)

• Scanning time and collected data

  The scanning time (in minutes and seconds) and the amount of collected data (as the count of images), automatically recorded by the intraoral scanning software, will be used to compare the two scanning methods.

  during the intraoral scanning

Secondary Outcomes (1)

• Surface area measurment of triangles

  through study completion, an average of 2 weeks

Study Arms (2)

AI on scanning

SHAM COMPARATOR

The lower jaw of the participants was scanned with ''AI on'' scanning in line with recommended scanning protocol, and the IOS software automatically recorded the obtained data.

Device: AI on algorithm

AI off scanning

ACTIVE COMPARATOR

The lower jaw of the participants was scanned with ''AI off'' scanning in line with recommended scanning protocol, and the IOS software automatically recorded the obtained data.

Device: AI off algorithm

Interventions

AI on algorithm DEVICE

The mandibles of the participants were scanned with ''AI on'' scanning in line with the recommended scanning protocol. All scans were performed by the same operator.

AI on scanning

AI off algorithm DEVICE

The mandibles of the participants were scanned with ''AI off'' scanning in line with the recommended scanning protocol. All scans were performed by the same operator.

AI off scanning

Eligibility Criteria

• Age: 18 Years - 44 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• Completed growth and development
• Good oral hygiene habits and healthy periodontal status.
• Absence of missing teeth in mandibula (or no teeth loss in mandibular)
• Signing of the informed consent form
• No temporomandibular joint (TMJ) disorder

Sponsors & Collaborators

• Kıvanç Akça: lead
• Hacettepe University: collaborator

Study Sites (1)

Hacettepe University Faculty of Dentistry Department of Prosthodontics

Ankara, 06100, Turkey (Türkiye)

Location

Study Officials

• Kivanc Akca, Professor

  Study Director

  STUDY DIRECTOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NON RANDOMIZED
• Masking: TRIPLE
• Who Masked: PARTICIPANT, INVESTIGATOR, OUTCOMES ASSESSOR
• Purpose: BASIC SCIENCE
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR INVESTIGATOR
• PI Title: Prof. Dr.

Study Record Dates

• First Submitted: May 26, 2022
• First Posted: September 19, 2022
• Study Start: September 1, 2021
• Primary Completion: October 10, 2021
• Study Completion: December 5, 2021
• Last Updated: September 19, 2022

Record last verified: 2022-09

Locations

TU (1)