ArticleBioinformation2025
Impact of artificial intelligence (AI) on predicting marginal fit and aesthetic outcomes for custom implant abutments.
Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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6 authors.
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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.
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