NCT07505485|RecruitingDMC
Artificial Intelligence-Based Assessment of Endosseous Lesions
AIpreop
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AIpreop
Sponsor study identifier
interventional
10
1 country
2
Study Start
April 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Primary Completion
May 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
May 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Despite these advances, CBCT interpretation remains largely qualitative and dependent on the clinician's experience. Conventional evaluation is based on two-dimensional slices and linear measurements, which may underestimate lesion complexity and spatial distribution. Recent developments in Artificial Intelligence in Medicine have introduced automated image segmentation tools capable of identifying lesion boundaries and calculating volumetric data. These technologies allow a transition from subjective assessment to objective, reproducible quantification. The potential clinical advantages include:
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
May 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
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Some registry-reported names shown below are not yet linked in this graph.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
March 21, 2026
Actual (reported)April 1, 2026
Actual (reported)April 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
May 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
May 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Time required for CBCT interpretation (minutes)
assessment of the time required for CBCT interpretation by the surgeon. A digital stopwatch was used to record the operative time required for each procedural step, with measurements expressed in seconds, in order to obtain an objective and standardized assessment of execution time.
Day 1
Intraoperative and Postoperative Complications
Day 1
* Automated segmentation of the lesion * 3D reconstruction * Volumetric calculation
CBCT scans were processed using AI-based software capable of: * Automated segmentation of the lesion * 3D reconstruction * Volumetric calculation
Registry-reported names are shown in full. Names without a link have not yet been matched to a Syfrah profile.
University of Bari Aldo Moro
Bari, 70021, Italy
Dr. Giuseppe D'Albis
Bari, 70124, Italy
Giuseppe D'Albis, Dr
University of Bari Aldo Moro
Saverio Capodiferro, Prof
University of Bari Aldo Moro
First Submitted
March 21, 2026
First Posted
April 1, 2026
Study Start
April 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Primary Completion
May 1, 2026
Contact the study team to confirm eligibility.
This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
May 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Last Updated
April 15, 2026
Record last verified: 2026-04
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Source: ClinicalTrials.gov.
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