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

Ain Shams University

Status: Active, not recruiting

Conditions: Registration Accuracy

Treatments: Other: Point-based registration; Other: AI-assisted registration

Study type: Interventional

Funder types: Other

Identifiers

NCT06273332

AI surgery protocol

Details and patient eligibility

About

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.

Full 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.

Enrollment: 16 estimated patients

Sex: All

Ages: 15+ years old

Volunteers: Accepts Healthy Volunteers

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.

Trial design

Primary purpose: Other

Allocation: Non-Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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16 participants in 2 patient groups

AI-assisted registration

Experimental group

Description:

3D model registration will be carried out using artificial intelligence

Treatment:

Other: AI-assisted registration

Point-based registration

Active Comparator group

Description:

3D model registration will be carried out using point-based approach

Treatment:

Other: Point-based registration