PERSPECTIVES ON DIGITAL DENTISTRY

digital_dentistryesra_kulkapak

ARTIFICIAL INTELLIGENCE ASSISTED ENDODONTIC TREATMENTS

Parla Meva Durmazpınar

İstanbul Marmara University, Faculty Dentistry, Department of Endodontics, İstanbul, Türkiye

Durmazpınar PM. Artificial Intelligence Assisted Endodontic Treatments. In: Kul E, editor. Perspectives on Digital Dentistry. 1st ed. Ankara: Türkiye Klinikleri; 2025. p.6776.

ABSTRACT

Artificial intelligence (AI) is a rapidly developing field of computer science that mimics the functions of human intelligence such as problem solving, analysis and decision making. The role of AI has become increasingly prominent in the healthcare field, especially in dentistry branches such as end odontics. Technologies such as deep learning (Dl) and artificial neural networks provide significant improvements in clinical processes such as detection of periapical lesions, determination of root canal anatomy and identification of cracks by analyzing complex structures in Xray images. One of the most important contributions of AI in endodontics is its integration into clinical decision support systems. These systems, which optimize treatment processes by increasing diagnostic accuracy, reduce the error rate by capturing details that may escape the attention of clinicians. likewise, AI algorithms improve patient satisfaction by offering higher precision and speed in complex procedures such as root canal shaping and filling. These processes not only save time, but also enable the development of personal ized treatment approaches. Advanced applications such as roboticassisted surgery are also among the contributions of AI to endodontic treatments. These technologies, which increase patient comfort with minimally invasive methods, also increase clinical success rates. However, there are some challenges such as data confidentiality, lack of quality data sets and generalizability of models, integration of these technologies into daily clinical practice, which make it difficult for AI to become widespread in the healthcare sector.

This chapter, which addresses the current and potential applications of AI in endodontics, evaluates the effective ways of using the technology and the processes of integration into clinical practice. In addition, the development of training programs to increase physicians’ confidence in AI and consid eration of ethical issues are critical to increase the effectiveness of the technology. This chapter aims to comprehensively evaluate the current and potential applications of AI technologies in the field of endodontics. Another goal is to examine the effectiveness of AI in clinical diagnosis, treatment plan ning and processes and to reveal how these technologies can be integrated into daily clinical practice. Recommendations will also be made to raise awareness of the ethical, legal and technical challenges of AI in endodontic practice and to increase clinicians’ confidence in these technologies. Within this scope, it is emphasized that with the correct use of AI, revolutionary improvements in both patient care and clinical outcomes can be achieved.

Keywords: Artificial intelligence; Deep learning; Endodontics; Machine learning

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