Artificial Intelligence in Endodontics
Keywords:
Artificial intelligence, Endodontics, Machine learning, computer aided diagnosis, predictive analysis, Automated diagnosis.Abstract
Artificial intelligence (AI) is revolutionizing endodontics as well as other healthcare specialties. This research investigates the use of AI in endodontic practice, which also highlights the technology's potential for increasing diagnostic accuracy, refining treatment
plans, and forecasting patient outcomes. Artificial Neural Networks (ANN) and Machine Learning (ML) algorithms are two examples of AI technologies that hold great promise for improving image analysis, streamlining clinical decision-making, and deciphering complex dental data. Even with these developments, problems including poor data quality, moral dilemmas, and the requirement for clinical validation still exist. The goal of this paper is to give a thorough analysis of the advantages, restrictions, and potential uses of AI in the field of endodontics.
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References
Akinrinmade AO, Adebile TM, Ezuma-Ebong C, et al. Artificial Intelligence in Healthcare: Perception and Reality. Cureus. 2023;15(9).
Alanazi A. Clinicians' Views on Using Artificial Intelligence in Healthcare: Opportunities, Challenges, and Beyond. Cureus. 2023;15(9).
Choi RY, Coyner AS, Kalpathy-Cramer J, Chiang MF, Campbell JP. Introduction to Machine Learning, Neural Networks, and Deep Learning. Transl Vis Sci Technol. 2020;9(2):14.
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