# Impact of artificial intelligence (AI) on predicting marginal fit and aesthetic outcomes for custom implant abutments

## TL;DR

This study shows that AI can accurately predict the fit and aesthetics of custom dental implants, improving clinical outcomes.

## Contribution

A custom CNN model was developed to predict marginal fit and aesthetics of implant abutments with high accuracy.

## Key findings

- The AI model achieved 93.5% accuracy for marginal fit within a 25 µ tolerance.
- Strong correlations (r = 0.89 for fit, r = 0.82-0.85 for aesthetics) were observed between AI predictions and actual outcomes.
- AI can reduce adjustments and remakes, improving clinical success rates in implant prosthodontics.

## Abstract

The integration of artificial intelligence into implant prosthodontics enhances the precision of pre-fabrication predictions for
clinical success. In this study, a custom convolutional neural network (CNN) model achieved a prediction accuracy of 93.5% for marginal
fit within a 25 µ tolerance and 87.6% concordance with clinical evaluations of custom implant abutment aesthetics. The AI-estimated
mean spatial gap (78.6±18.2 µ) closely approximated the actual measurement (82.3 ± 21.5 µ), with strong
correlations observed between predicted and actual outcomes for both fit (r = 0.89) and aesthetic appeal (r = 0.82-0.85). Thus, we show
the potential of AI as a preventive quality assessment tool in implant prosthodontics, capable of minimizing adjustments and remakes
while improving overall clinical success rates.

---
Source: https://tomesphere.com/paper/PMC12859304