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TRV-2026-0938Certified recordPeer-reviewed

The Role of Artificial Intelligence Models in Predicting Post-Prosthetic Facial Esthetics in Edentulous Patients: Clinical and Anthropometric Comparative Study

Objectives Artificial intelligence (AI) is increasingly used in esthetic dentistry; however, its accuracy in predicting post-prosthetic facial outcomes in edentulous patients remains unclear. This study aimed to evaluate the ability of AI models to simulate post-denture facial esthetics compared with actual clinical outcomes. Materials and methods A prospective within-subject observational study was conducted on 14 completely edentulous patients receiving new complete dentures. Standardized facial photographs we…

Health · The Trace — both readings · certified 2026-08-31 · v1 · article view · machine-readable

Current reading — gain

AI models Gemini and FaceApp generated post-denture facial images rated as esthetically comparable to actual clinical outcomes by patients and experts.

Current reading — problem

AI simulations failed to accurately reproduce quantitative facial anthropometric changes after denture placement despite visual similarity.

What this doesn’t fix

Findings based on only 14 completely edentulous patients in a single within-subject observational design, limiting generalizability and statistical power.

Evidence

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Truvace Impact Record TRV-2026-0938, v1: “The Role of Artificial Intelligence Models in Predicting Post-Prosthetic Facial Esthetics in Edentulous Patients: Clinical and Anthropometric Comparative Study.” Truvace, 2026-08-31. /record/TRV-2026-0938 (accessed at citation time). sha256 aa12205efbb4426a…

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