Development of a Conceptual Implant Stability Index Framework for Computational Risk Assessment in Implant Dentistry

(1) Background: Dental implant stability is influenced by multiple biomechanical, implant-related, and systemic factors, including bone density, implant geometry, biomechanical loading, smoking, osteoporosis, and diabetes mellitus. Computational bioengineering approaches may facilitate theoretical assessment of implant stability and support future risk-evaluation strategies. The aim of this study was to develop a conceptual computational framework for assessing theoretical implant instability using clinically relevant biomechanical and systemic parameters. (2) Methods: A multivariable computational framework was developed by integrating bone density, implant dimensions, implant mobility indicators, biomechanical loading conditions, smoking status, osteoporosis, and diabetes mellitus into a conceptual Implant Stability Index (ISI). Computational simulations and theoretical risk stratification procedures were used to evaluate framework behavior under different simulated conditions. (3) Results: The framework demonstrated the theoretical ability to differentiate between favorable and unfavorable implant stability conditions. Reduced bone density, increased implant mobility indicators, excessive biomechanical loading, and adverse systemic factors resulted in lower calculated ISI values and a higher theoretical instability risk. The framework further enabled the classification of simulated conditions into high-, moderate-, and increased-instability-risk categories. (4) Conclusions: The proposed Implant Stability Index represents a conceptual computational framework for integrating biomechanical, implant-related, and systemic factors associated with implant stability. Although not clinically validated, the framework may provide a proof-of-concept foundation for future studies involving clinical datasets, biomechanical simulations, and advanced computational modeling approaches.