The future of endodontics: Harnessing the potential of artificial intelligence

Abstract

Dear Editor-in-Chief, I am writing to express my enthusiasm for the recent advancements in the field of endodontology, specifically in the application of artificial intelligence (AI) technology. Over the past few years, there has been a significant surge in research/development focusing on integrating AI into various aspects of endodontic practice. As I have extensively reviewed 18 articles on this subject,[1–18] I believe it is an opportune time to shed light on the potential of AI and its impact on the future of endodontics. AI, particularly in the form of deep learning algorithms and convolutional neural networks, has showcased remarkable capabilities in various endodontic applications. From the detection and diagnosis of apical lesions on cone-beam computed tomography (CBCT) scans to the recognition/categorization of endodontic lesions on digital dental X-ray images, AI has proven its efficacy in enhancing diagnostic accuracy/efficiency.[7,8,14] These technologies have shown promise in aiding clinicians by automating repetitive tasks, enabling them to focus more on complex decision-making and patient care. One of the notable advantages of AI in endodontics is its ability to analyze large datasets and identify patterns that may not be readily apparent to human observers. By training AI models on extensive collections of dental images and patient data, these systems can learn and refine their diagnostic abilities, potentially surpassing human performance. This has tremendous implications for improving the accuracy/consistency of diagnoses, leading to more effective treatment planning/outcomes.[16] Furthermore, AI has demonstrated its potential in guiding treatment planning and surgical interventions. The automatic segmentation of individual teeth and root canals from CBCT images, coupled with deep multi-task feature learning, has expedited the process of generating 3D models for surgical planning. This not only saves valuable time but also facilitates more precise treatment strategies, especially in challenging root canal treatments. AI-driven treatment planning holds immense promise in enhancing the success rates and predictability of endodontic procedures.[14] Despite the exciting possibilities, it is important to acknowledge the limitations and challenges associated with AI in endodontics. Ethical considerations, privacy concerns, and the need for careful validation of AI models are crucial aspects that warrant attention. In addition, ensuring the seamless integration of AI technologies into clinical practice and addressing the digital divide among practitioners will be essential for widespread adoption.[8] In conclusion, the rapid advancements in AI technology have paved the way for significant transformations in the field of endodontics. As evidenced by the articles I have reviewed, AI has the potential to revolutionize various aspects of endodontic practice, from diagnosis and treatment planning to enhance clinical decision-making. The future of endodontics is undoubtedly intertwined with AI, and it is our responsibility as researchers, clinicians, and educators to embrace this technology, understand its nuances, and work toward its responsible and ethical implementation. I would like to express my sincere gratitude to the authors/researchers/clinicians who have contributed to the body of knowledge in AI and endodontics. Their dedication and efforts are instrumental in shaping the future landscape of our field. I extend my appreciation to the journal for providing a platform for disseminating this invaluable research and fostering dialogue among experts. Thank you for considering this editorial letter. I believe that by embracing AI and leveraging its potential, we can enhance the quality of endodontic care, improve patient outcomes, and advance our understanding of this fascinating field.

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