NCT06527378

Brief Summary

Artificial intelligence (AI) is revolutionizing the dentistry, offering new opportunities to improve the precision and efficiency of implantology. This study aims to evaluate the current evidence on the use of AI in implant planning assessment

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
15

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started May 2024

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

May 1, 2024

Completed
1 month until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 1, 2024

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

July 24, 2024

Completed
1 day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 25, 2024

Completed
5 days until next milestone

First Posted

Study publicly available on registry

July 30, 2024

Completed
Last Updated

November 18, 2024

Status Verified

November 1, 2024

Enrollment Period

1 month

First QC Date

July 24, 2024

Last Update Submit

November 14, 2024

Conditions

Edentulous Alveolar RidgeEdentulous MouthTooth Loss

Keywords

Artificial Intelligence in ImplantologyAI in Dental ImplantologyMachine Learning in Dental ImplantologyDeep Learning in Implant DentistryRobotics in Dental ImplantologyAI-Based Implant Planning

Outcome Measures

Primary Outcomes (1)

  • Valuation on the diagnosis of anatomical structures

    The primary focus is on evaluating the AI tools to evalue the quality and dimensions of the bone and ensuring the safe placement of implants by identifying and preserving critical structures such as nerves and the max-illary sinus.

    1 month

Interventions

AI in implant planningDIAGNOSTIC_TEST

Assessment of Current Technology for Supporting Implant Planning

Eligibility Criteria

Age18 Years - 75 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Patients with edentulous ridges who need fixed prosthetic rehabilitation

You may qualify if:

  • Patients who underwent 3D or 2D radiological examinations for implant-prosthetic rehabilitation

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Giuseppe D'Albis

Mola di Bari, Bari, 70042, Italy

Location

Related Publications (1)

  • Macri M, D'Albis V, D'Albis G, Forte M, Capodiferro S, Favia G, Alrashadah AO, Garcia VD, Festa F. The Role and Applications of Artificial Intelligence in Dental Implant Planning: A Systematic Review. Bioengineering (Basel). 2024 Jul 31;11(8):778. doi: 10.3390/bioengineering11080778.

    PMID: 39199736BACKGROUND

MeSH Terms

Conditions

Mouth, EdentulousTooth Loss

Condition Hierarchy (Ancestors)

Mouth DiseasesStomatognathic DiseasesTooth DiseasesPeriodontal Diseases

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

July 24, 2024

First Posted

July 30, 2024

Study Start

May 1, 2024

Primary Completion

June 1, 2024

Study Completion

July 25, 2024

Last Updated

November 18, 2024

Record last verified: 2024-11

Data Sharing

IPD Sharing
Will not share

Locations

IT(1)