Can Artificial Intelligence be Easily Accessible in General Dentistry in the Near Future…? Review of Literature


Authors : Dr. Swapna Ediga; Dr. Asif.K; Dr. Sindhura.H

Volume/Issue : Volume 8 - 2023, Issue 3 - March

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3JWuZsJ

DOI : https://doi.org/10.5281/zenodo.7787541

Abstract : - Any computer or technology that can simulate human cognitive abilities like problem-solving is said to have artificial intelligence. It is used to develop a computer programme that can easily mimic human intellect and perform specific tasks. Convolutional neural networks and/or artificial neural networks are the sorts of AI that have demonstrated several programme and forecast the success of therapeutic methods. This overview demonstrates how quickly artificial intelligence and the use of neural networks have developed in recent years. Higher efficiency, accuracy, and time savings are advantages of this method at various stages of the diagnosis, prognosis, and treatment plans. In order to integrate neural networks into routine practice and to make it easier, more research and improvements are required for their application in dentistry.

Keywords : Artificial Intelligence (AI), Neural Networks (NNs), Convolutional Neural Networks (CNN), Multilayer Perception (MLP), Deep Learning

- Any computer or technology that can simulate human cognitive abilities like problem-solving is said to have artificial intelligence. It is used to develop a computer programme that can easily mimic human intellect and perform specific tasks. Convolutional neural networks and/or artificial neural networks are the sorts of AI that have demonstrated several programme and forecast the success of therapeutic methods. This overview demonstrates how quickly artificial intelligence and the use of neural networks have developed in recent years. Higher efficiency, accuracy, and time savings are advantages of this method at various stages of the diagnosis, prognosis, and treatment plans. In order to integrate neural networks into routine practice and to make it easier, more research and improvements are required for their application in dentistry.

Keywords : Artificial Intelligence (AI), Neural Networks (NNs), Convolutional Neural Networks (CNN), Multilayer Perception (MLP), Deep Learning

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