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Artificial intelligence in dentistry and dental biomaterials

  • University of Greifswald
  • University of Mississippi
  • Chulalongkorn University

Research output: Contribution to journalReview articlepeer-review

32 Scopus citations

Abstract

Artificial intelligence (AI) technology is being used in various fields and its use is increasingly expanding in dentistry. The key aspects of AI include machine learning (ML), deep learning (DL), and neural networks (NNs). The aim of this review is to present an overview of AI, its various aspects, and its application in biomedicine, dentistry, and dental biomaterials focusing on restorative dentistry and prosthodontics. AI-based systems can be a complementary tool in diagnosis and treatment planning, result prediction, and patient-centered care. AI software can be used to detect restorations, prosthetic crowns, periodontal bone loss, and root canal segmentation from the periapical radiographs. The integration of AI, digital imaging, and 3D printing can provide more precise, durable, and patient-oriented outcomes. AI can be also used for the automatic segmentation of panoramic radiographs showing normal anatomy of the oral and maxillofacial area. Recent advancement in AI in medical and dental sciences includes multimodal deep learning fusion, speech data detection, and neuromorphic computing. Hence, AI has helped dentists in diagnosis, planning, and aid in providing high-quality dental treatments in less time.

Original languageEnglish
Article number1525505
JournalFrontiers in Dental Medicine
Volume5
DOIs
StatePublished - 2024

Keywords

  • artificial intelligence
  • deep learning
  • dental biomaterials
  • dental medicine
  • dentistry
  • machine learning
  • medicine
  • neural networks

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