Edentulous Alveolar RidgeAIDENTNCT06527378
Artificial Intelligence in Dental Implant Planning
An observational study of Edentulous Alveolar Ridge and Edentulous Mouth, run by University of Bari Aldo Moro at 1 site in Italy.
Trial 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 Read more about this study
- Who is it for?
- Ages 18 to 75 years
- Conditions the study is for
- Edentulous Alveolar Ridge, Edentulous Mouth, Tooth Loss
- What is being tested?
- AI in implant planning
- How many people
- 15 participants
- Where
- 1 siteItaly
- Study dates
- 1 May 2024to 25 Jul 2024
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 75 years
- All sexes
- Adult, Older adult
Study population: Patients with edentulous ridges who need fixed prosthetic rehabilitation
Who may be able to join
- Patients who underwent 3D or 2D radiological examinations for implant-prosthetic rehabilitation
Who cannot join
None listed.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: The Role and Applications of Artificial Intelligence in Dental Implant Planning
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
Read the detailed description
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
- Edentulous Alveolar Ridge, Edentulous Mouth, Tooth Loss
- Being tested
- AI in implant planning
- Keywords
- Artificial Intelligence in Implantology, AI in Dental Implantology, Machine Learning in Dental Implantology, Deep Learning in Implant Dentistry, Robotics in Dental Implantology, AI-Based Implant Planning
- Medical subject headings
- Mouth, Edentulous, Tooth Loss
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI in implant planningDiagnostic test
Assessment of Current Technology for Supporting Implant Planning
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 1 month
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted30 Jul 2024
- Study start1 May 2024
- Primary completion1 Jun 2024
- Study completion25 Jul 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Edentulous Alveolar RidgeStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 15 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Bari Aldo Moro
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Giuseppe D'Albis, University of Bari Aldo Moro
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06527378
- Sponsor's protocol ID
- AI in Dentistry
- Acronym
- AIDENT
- Status last verified
- Nov 2024
- First submitted
- 24 Jul 2024
- Last updated
- 18 Nov 2024
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
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.
PubMed 39199736
Study at a glance
From the registry record, last updated by the sponsor on 18 Nov 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Role and Applications of Artificial Intelligence in Dental Implant Planning
- ClinicalTrials.gov ID
- NCT06527378
- Acronym / sponsor ID
- AIDENT / AI in Dentistry
- Conditions
- Edentulous Alveolar Ridge, Edentulous Mouth, Tooth Loss
- Keywords
- Artificial Intelligence in Implantology, AI in Dental Implantology, Machine Learning in Dental Implantology, Deep Learning in Implant Dentistry, Robotics in Dental Implantology, AI-Based Implant Planning
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 15 participants (actual)
- Lead sponsor
- University of Bari Aldo MoroUniversity, hospital or other
- Study start
- 1 May 2024 (actual)
- Primary completion
- 1 Jun 2024 (actual)
- Study completion
- 25 Jul 2024 (actual)
- First posted
- 30 Jul 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
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.
Study design
- Observational model
- Cohort
- Time perspective
- Retrospective
Who may qualify
- Ages
- 18 to 75 years
- Sex
- All
- Age groups
- Adult, Older adult
- Study population
- Patients with edentulous ridges who need fixed prosthetic rehabilitation
Key inclusion criteria (1 listed)
- Patients who underwent 3D or 2D radiological examinations for implant-prosthetic rehabilitation
Key exclusion criteria (0 listed)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI in implant planningAssessment of Current Technology for Supporting Implant Planning | Diagnostic test | – |
Primary outcome
Valuation on the diagnosis of anatomical structures
Time frame: 1 month
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.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 18 Nov 2024.
- Results publication: PubMed 39199736Macri 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.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Edentulous Alveolar Ridge and Edentulous Mouth, run by University of Bari Aldo Moro at 1 site in Italy.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 0 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 18 Nov 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Italy. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Valuation on the diagnosis of anatomical structures (time frame: 1 month). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06527378, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 18 Nov 2024.