Predictive Modeling Using AI for Implant Failure Based on Patient Risk  Factors and CBCT Data

Diya Aldakhlallah, Usman Manzoor Warraich, Jawaria Bibi, Sehar Naeem, Umar Farooq Khan, Asrar Ahmed

Predictive Modeling Using AI for Implant Failure Based on Patient Risk Factors and CBCT Data

Authors

Diya Aldakhlallah, Usman Manzoor Warraich, Jawaria Bibi, Sehar Naeem, Umar Farooq Khan, Asrar Ahmed

Keywords:

Artificial intelligence, dental implants, CBCT, predictive modeling, implant failure, risk factors

Abstract

Dental implant therapy has become a widely accepted treatment for tooth replacement.However, implant failure remains a concern due to patient-related and procedural riskfactors. Advances in artificial intelligence

References

Chen H, Liu N, Xu X, Qu X, Lu E. (2013). Smoking, radiotherapy, diabetes and osteoporosis as risk factors for dental implant failure: a meta-analysis. PLoS One, 5;8(8):e71955. doi: 10.1371/journal.pone.0071955. PMID: 23940794; PMCID: PMC3733795. a

Chrcanovic BR, Albrektsson T, Wennerberg A. (2014). Diabetes and oral implant failure: systematic review. J Dent Res, 93(9):859-67.

doi: 10.1177/0022034514538820. Epub 2014 Jun 13. PMID: 24928096; PMCID: PMC4541101

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Published

2025-06-20

How to Cite

Diya Aldakhlallah, Usman Manzoor Warraich, Jawaria Bibi, Sehar Naeem, Umar Farooq Khan, Asrar Ahmed. (2025). Predictive Modeling Using AI for Implant Failure Based on Patient Risk Factors and CBCT Data . International Journal of Pharmacy Research & Technology (IJPRT), 15(2), 1293–1306. Retrieved from https://www.ijprt.org/index.php/pub/article/view/895