The Developing Technology of Artificial Intelligence in Endodontics: A Literature Review

Artificial intelligence (AI) is a term that interprets technologies that can perform cognitive functions emulating human intelligence. It works by help of the software to learn automatically from patterns or features in the data. It is a popular field of study that contains many theories, methods and technologies, as much as the following major subfields in healthcare and medicine. Use of AI is also popular in many fields of dentistry. The main use in dentistry is in dental education to simulate clinical work on patients and to minimize all the hazards associated with training on a live patient. In dentistry, the use of the deep learning algorithm has been investigated in cases such as the detection of dental caries, periapical lesions, temporomandibular joint problems, and skeletal classifications, and it has been stated that Convolutional Neural Networks (CNN) is a useful aid for diagnosis and treatment planning. This review article was focused on the use of AI in Endodontics such as detection of periapical lesions, prediction of treatment and retreatment methods, detection of root fractures, determination of working length, and evaluation of root canal system morphology and anatomy.

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