ArticleScientific reports2024
Correlation between peri-implant bone mineral density and primary implant stability based on artificial intelligence classification.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The trial behind it
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Who cites it
8 citing papers in PubMed.
- Effects of Intraoperative Ozone Application on Early Implant Stability: A Randomized Split-Mouth Clinical Trial.Journal of functional biomaterials · 2026Article
- Correlation between drilling torque and cone-beam CT gray values: an exploratory clinical study on bone density assessment using a measurement drill.BMC oral health · 2026Article
- Timing and extent of Peri-Implant bone loss for dental implant removal: A retrospective Cross-Sectional analysis.Clinical oral investigations · 2026Article
- Expanded classification for immediate molar implant placement: Integrating root socket strategies beyond septal bone typing.Journal of dental sciences · 2026Article
- Comparative evaluation of bone density after implant placement with and without bone grafting using CBCT.Bioinformation · 2026Article
- Critical Review of Hearing Rehabilitation in Pediatric Oncology: Specific Considerations and Barriers.Current oncology (Toronto, Ont.) · 2025Review
- Effects of Two Dental Implant Micromotor Systems for Dental Implant Placement on Implant Stability and Removal Torque: An Animal Experiment.Materials (Basel, Switzerland) · 2025Article
- Precise multi-factor immediate implant placement decision models based on machine learning.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Currently, the classification of bone mineral density (BMD) in many research studies remains rather broad, often neglecting localized changes in BMD. This study aims to explore the correlation between peri-implant BMD and primary implant stability using a new artificial intelligence (AI)-based BMD grading system. 49 patients who received dental implant treatment at the Affiliated Hospital of Stomatology of Fujian Medical University were included. Recorded the implant stability quotient (ISQ) after implantation and the insertion torque value (ITV). A new AI-based BMD grading system was used to obtain the distribution of BMD in implant site, and the bone mineral density coefficients (BMDC) of the coronal, middle, apical, and total of the 1 mm site outside the implant were calculated by model overlap and image overlap technology. Our objective was to investigate the relationship between primary implant stability and BMDC values obtained from the new AI-based BMD grading system. There was a significant positive correlation between BMDC and ISQ value in the coronal, middle, and total of the implant (P < 0.05). However, there was no significant correlation between BMDC and ISQ values in the apical (P > 0.05). Furthermore, BMDC was notably higher at implant sites with greater ITV (P < 0.05). BMDC calculated from the new AI-based BMD grading system could more accurately present the BMD distribution in the intended implant site, thereby providing a dependable benchmark for predicting primary implant stability.
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