Artificial Intelligence in Dentistry: A Ray of Hope

Abstract

by itself through learning using some of the sense and thinking mechanisms of people. 4o understand the concept of AI, one must be familiar with the following terms 2 : Machine learning (ML): Machine learning is a branch of computer science that builds algorithms guided by data.Deep learning: Specific form of learning based on algorithms of neural networks.Representation learning: Representation learning is a subtype of ML in which the computer algorithm learns the features required to classify the provided data.This does not require a hand labeled data like ML. Artificial neural networks (ANNs): This involves networks of highly interconnected computer processors that has the ability to learn from past examples, analyze nonlinear data, handle imprecise information, and generalize enabling application of the model to independent data thus making it a very attractive analytical tool in the field of medicine.The greatest advantage of these systems is that they have the capability to solve the problems that are too complex to be solved by conventional methods.They are useful in various areas of medicinal science like diagnosis of diseases, biomedical identification, image analysis, and data analysis. Clinical decision support system (CDSS):A CDSS is a system between a broad dynamic (medical) knowledge database and an inferencing output mechanism that are a set of algorithms derived from evidence-based medical practice executed through medical logic modules.Currently, the intuitive interphase with

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