Revolutionizing Dentistry with Artificial Intelligence

Session

Dental Science

Description

The integration of Artificial Intelligence (AI) into dentistry represents a paradigm shift in diagnostic accuracy and treatment planning. Traditional approaches to radiographic interpretation, implantology, and prosthodontics, while effective, are inherently limited by inter-operator variability, time constraints, and the complexity of patient-specific factors. Recent advances in AI, including machine learning, deep learning, and predictive analytics, provide tools capable of analyzing large, complex datasets with precision and consistency beyond human capability. This paper aims to critically examine the role of AI in enhancing diagnostic accuracy and optimizing treatment planning in dentistry. A comprehensive literature review highlights AI’s significant contributions across three main domains: diagnostic imaging, implantology, and prosthodontics. In imaging, AI algorithms demonstrate superior performance in detecting caries, periapical lesions, and bone density variations, while reducing diagnostic errors. In implantology, AI facilitates prosthetically driven planning, enhances the accuracy of surgical guides, and provides real-time intraoperative support, thereby minimizing placement errors. In prosthodontics, AI-driven virtual articulators, occlusal analysis, and esthetic simulations enable personalized prosthetic designs and improved clinical outcomes. Beyond clinical practice, AI is increasingly integrated into dental education and digital record management, offering simulation-based training and secure, traceable data systems. The findings suggest that AI enhances accuracy, efficiency, and personalization in dental care, positioning it as a cornerstone of precision dentistry. However, its successful adoption requires balancing technological innovation with clinician oversight, ethical safeguards, and practical frameworks. AI, when responsibly integrated, will augment, not replace, clinical expertise, shaping the future of dentistry through data-driven and patient-centered care.

Keywords:

Artificial Intelligence (AI), Machine Learning, Dental Imaging, Implantology, Prosthodontics, Diagnostic Accuracy, Treatment Planning, Precision Dentistry

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-41-2

Location

UBT Lipjan, Kosovo

Start Date

25-10-2025 9:00 AM

End Date

26-10-2025 6:00 PM

DOI

10.33107/ubt-ic.2025.129

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Oct 25th, 9:00 AM Oct 26th, 6:00 PM

Revolutionizing Dentistry with Artificial Intelligence

UBT Lipjan, Kosovo

The integration of Artificial Intelligence (AI) into dentistry represents a paradigm shift in diagnostic accuracy and treatment planning. Traditional approaches to radiographic interpretation, implantology, and prosthodontics, while effective, are inherently limited by inter-operator variability, time constraints, and the complexity of patient-specific factors. Recent advances in AI, including machine learning, deep learning, and predictive analytics, provide tools capable of analyzing large, complex datasets with precision and consistency beyond human capability. This paper aims to critically examine the role of AI in enhancing diagnostic accuracy and optimizing treatment planning in dentistry. A comprehensive literature review highlights AI’s significant contributions across three main domains: diagnostic imaging, implantology, and prosthodontics. In imaging, AI algorithms demonstrate superior performance in detecting caries, periapical lesions, and bone density variations, while reducing diagnostic errors. In implantology, AI facilitates prosthetically driven planning, enhances the accuracy of surgical guides, and provides real-time intraoperative support, thereby minimizing placement errors. In prosthodontics, AI-driven virtual articulators, occlusal analysis, and esthetic simulations enable personalized prosthetic designs and improved clinical outcomes. Beyond clinical practice, AI is increasingly integrated into dental education and digital record management, offering simulation-based training and secure, traceable data systems. The findings suggest that AI enhances accuracy, efficiency, and personalization in dental care, positioning it as a cornerstone of precision dentistry. However, its successful adoption requires balancing technological innovation with clinician oversight, ethical safeguards, and practical frameworks. AI, when responsibly integrated, will augment, not replace, clinical expertise, shaping the future of dentistry through data-driven and patient-centered care.