Artificial Intelligence in Dental Implant Planning

NCT ID: NCT06527378

Last Updated: 2024-11-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

15 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-05-01

Study Completion Date

2024-07-25

Brief Summary

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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

Detailed Description

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The analysis was conducted through electronic search engines, using a combination of relevant keywords, including "artificial intelligence implantology," "AI implant planning," "AI dental implant," and "implantology artificial intelligence." Selected articles will carefully re-viewed to identify studies reporting data on the effectiveness of AI in implant planning.

Conditions

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Edentulous Alveolar Ridge Edentulous Mouth Tooth Loss

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Interventions

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AI in implant planning

Assessment of Current Technology for Supporting Implant Planning

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Patients who underwent 3D or 2D radiological examinations for implant-prosthetic rehabilitation
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of Bari Aldo Moro

OTHER

Sponsor Role lead

Responsible Party

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Giuseppe D'Albis

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Giuseppe D'Albis

Mola di Bari, Bari, Italy

Site Status

Countries

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Italy

References

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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.

Reference Type BACKGROUND
PMID: 39199736 (View on PubMed)

Other Identifiers

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AI in Dentistry

Identifier Type: -

Identifier Source: org_study_id

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