Assessment of the Artifical Intelligence Assisted Registration Versus Conventional Point Based Registration on Cone Beam-computed Tomography (CBCT) With Heavy Metal Artifacts

Assessment of the AI-assisted Registration Versus Conventional Point-based Registration on CBCTs With Heavy Metal Artifacts

Status

Active, not recruiting

Phases

Study type

Interventional

Source

ClinicalTrials.gov

Registry ID

NCT06273332

Enrollment

Registered

2024-02-22

Start date

2023-12-20

Completion date

2024-02-25

Last updated

2024-02-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Registration Accuracy

Keywords

Point-based registration, AI registration, Accuracy, Digital implant planning

Brief summary

Our study investigates the accuracy and duration needed for 3D model registration using artifical intelligence (AI) assistance compared to conventional point-based registration. Manual segmentation of all cone beam computed tomography (CBCT) scans will be performed before the registration procedure.

Detailed description

CBCT images and intraoral scans will be screened following specific eligibility criteria. 16 CBCT images and intraoral scans that will meet the inclusion criteria will undergo manual segmentation via 3D medical image processing software. Afterward, point-based registration and AI-assisted registration will be performed by a single operator using specialized implant planning software. Then, the registration accuracy will be examined by measuring the distances between the three-dimensional models of CBCT data and intraoral scans. Also, the duration required for registration will be calibrated and recorded by a stopwatch.

Interventions

OTHERAI-assisted registration

We will use artificial intelligence to register 3d model on intra-oral scan

OTHERPoint-based registration

We will use five references points or more to perform model registration

Study design

Allocation

NON_RANDOMIZED

Intervention model

PARALLEL

Primary purpose

OTHER

Masking

NONE

Eligibility

Sex/Gender

ALL

Age

15 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

CBCT scans for either the maxilla or mandible or both and intraoral scans or manual impressions with metal restorations.

Exclusion criteria

Scans without metal restorations.

Design outcomes

Primary

Measure	Time frame	Description
Registration accuracy	immediately after the procedure	Distance between registered 3d model and CBCT in millimeters

Secondary

Measure	Time frame	Description
Duration for registration	During the procedure	time taken for registration procedure

Countries

Egypt

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026