Edentulous JawNCT06693635
Comparative Evaluation of Implant Planning Software
An observational study of Edentulous Jaw and Edentulous Alveolar Ridge, run by University of Bari Aldo Moro at 1 site in Italy.
Trial summary
Artificial intelligence (AI) is increasingly being integrated into dental implant planning, revolutionizing the way clinicians approach treatment. AI-driven software can enhance the accuracy of implant placement by analyzing complex data sets, including bone density, anatomical structures, and patient-specific… Read more about this study
- Who is it for?
- Ages 18 to 70 years
- Conditions the study is for
- Edentulous Jaw, Edentulous Alveolar Ridge, Edentulous Mouth
- What is being tested?
- Implant planning
- How many people
- 1 participants
- Where
- 1 siteItaly
- Study dates
- 1 Nov 2024to 1 Nov 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 70 years
- All sexes
- Adult, Older adult
Study population: All patients requiring implant rehabilitation with digital planning
Who may be able to join
- CBCT of Patient who needs Implant rehabilitations
Who cannot join
- Patient not suitable for implant rehabilitation
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Evaluating the Impact of Artificial Intelligence in Implant Planning Software: A Case Study Approach
Artificial intelligence (AI) is increasingly being integrated into dental implant planning, revolutionizing the way clinicians approach treatment. AI-driven software can enhance the accuracy of implant placement by analyzing complex data sets, including bone density, anatomical structures, and patient-specific factors. This technology enables the creation of precise 3D models and surgical guides, facilitating more predictable and personalized treatment outcomes. Additionally, AI algorithms can automate tasks such as segmentation, matching digital impressions with CBCT scans, and even suggesting optimal implant positions. The integration of AI in implant planning not only improves clinical efficiency but also contributes to better patient outcomes by reducing surgical risks and enhancing the overall success of implant procedures.
- Being tested
- Implant planning
- Keywords
- Artificial Intelligence in Implantology, AI, Implant planning, AI software
- Medical subject headings
- Jaw, Edentulous, Mouth, Edentulous
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Implant planningDiagnostic test
The implant planning will be carried out using various software programs. The AI assistance provided by each software will be evaluated.
What is being measured
The primary outcome is the main question the study is designed to answer.
Segmentation of Bones
The segmentation of bone structures and anatomical boundaries performed by the software will be evaluated.
Measured: 1 day
Recognition of Neural structure
The segmentation and recognition of nerve structures performed by the software will be evaluated.
Measured: 1 day
Segmentation of teeth
The segmentation of teeth performed by the software will be evaluated.
Measured: 1 day
Bone density
The bone hardness and density data will be evaluated at three different points. The value will be given on the Hounsfield Scale.
Measured: 1 day
Time Workflow
The execution time of each planning will be evaluated.
Measured: 1 day
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Nov 2024
- Study start1 Nov 2024
- Primary completion1 Nov 2024
- Study completion1 Nov 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Edentulous JawStudies 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
- Case only
- Time perspective
- Retrospective
- Enrolment
- 1 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
- Investigators
- Giuseppe D'Albis, Dr, Principal investigator, University of Bari Aldo MoroMassimo Corsalini, Prof, Study director, University of Bari Aldo MoroSaverio Capodiferro, Prof, Study director, University of Bari Aldo Moro
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06693635
- Sponsor's protocol ID
- AISoftware
- Status last verified
- Dec 2024
- First submitted
- 14 Nov 2024
- Last updated
- 1 Jan 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 1 Jan 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Evaluating the Impact of Artificial Intelligence in Implant Planning Software: A Case Study Approach
- ClinicalTrials.gov ID
- NCT06693635
- Acronym / sponsor ID
- AISoftware
- Keywords
- Artificial Intelligence in Implantology, AI, Implant planning, AI software
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 1 participants (actual)
- Lead sponsor
- University of Bari Aldo MoroUniversity, hospital or other
- Study start
- 1 Nov 2024 (actual)
- Primary completion
- 1 Nov 2024 (actual)
- Study completion
- 1 Nov 2024 (actual)
- First posted
- 18 Nov 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 increasingly being integrated into dental implant planning, revolutionizing the way clinicians approach treatment. AI-driven software can enhance the accuracy of implant placement by analyzing complex data sets, including bone density, anatomical structures, and patient-specific factors. This technology enables the creation of precise 3D models and surgical guides, facilitating more predictable and personalized treatment outcomes. Additionally, AI algorithms can automate tasks such as segmentation, matching digital impressions with CBCT scans, and even suggesting optimal implant positions. The integration of AI in implant planning not only improves clinical efficiency but also contributes to better patient outcomes by reducing surgical risks and enhancing the overall success of implant procedures.
Study design
- Observational model
- Case only
- Time perspective
- Retrospective
Who may qualify
- Ages
- 18 to 70 years
- Sex
- All
- Age groups
- Adult, Older adult
- Study population
- All patients requiring implant rehabilitation with digital planning
Key inclusion criteria (1 listed)
- CBCT of Patient who needs Implant rehabilitations
Key exclusion criteria (1 listed)
- Patient not suitable for implant rehabilitation
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 |
|---|---|---|
| Implant planningThe implant planning will be carried out using various software programs. The AI assistance provided by each software will be evaluated. | Diagnostic test | – |
Primary outcome
Segmentation of Bones
Time frame: 1 day
The segmentation of bone structures and anatomical boundaries performed by the software will be evaluated.
Recognition of Neural structure
Time frame: 1 day
The segmentation and recognition of nerve structures performed by the software will be evaluated.
Segmentation of teeth
Time frame: 1 day
The segmentation of teeth performed by the software will be evaluated.
Bone density
Time frame: 1 day
The bone hardness and density data will be evaluated at three different points. The value will be given on the Hounsfield Scale.
Time Workflow
Time frame: 1 day
The execution time of each planning will be evaluated.
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 1 Jan 2025.
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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.
Giuseppe D'Albis, Dr principal investigator
University of Bari Aldo Moro
Massimo Corsalini, Prof study director
University of Bari Aldo Moro
Saverio Capodiferro, Prof study director
University of Bari Aldo Moro
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 Jaw and Edentulous Alveolar Ridge, 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 1 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 1 Jan 2025. 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?
Segmentation of Bones (time frame: 1 day). The study lists 5 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
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 1 Jan 2025; AzTrials last refreshed its copy on 29 Oct 2026.