Introduction: The revolution of digital development in healthcare is also reflected in dentistry, including the shifting of treatment paradigms to artificial intelligence (AI). This systematic review focuses on recent scientific literature and provides a detailed review of clinical applications and diagnostic performance of artificial intelligence in prosthodontics.
Methods: An electronic search was carried out on MEDLINE PubMed, Cochrane, and a manual search using Google Scholar till 30th Oct 2024 for the last 10 years, focusing on the use of artificial intelligence in prosthodontics.
Results: AI has been applied in prosthodontics through deep learning, convolutional neural networks, machine-vision-controlled robotics, and computer-aided planning. Outcomes included high diagnostic accuracy, enhanced surgical precision, and streamlined prosthesis design workflows. Accuracy rates reached up to 94.2% in identifying implant systems, and robot-assisted placement showed significantly improved positional precision; however, significant heterogeneity among studies precluded meta-analysis.
Conclusion: This systematic review signified the advances in AI in diagnostics, surgical planning, and prosthetic design. Despite methodological limitations and heterogeneity, findings highlight AI's transformative potential. Future multicenter trials with standardized outcome measures are recommended.
Clinical significance:
This review highlights AI's ability to enhance diagnostic accuracy, improve implant placement precision, and streamline prosthodontic workflows. Its integration into clinical practice can reduce errors, save time, and support more personalized, efficient patient care, marking a transformative step forward in prosthodontics.