Artificial Intelligence In Diagnosing And Treatment Of Oral Mucosal Lesions - A Systematic Review

Background: Artificial intelligence (AI) has made deep inroads into dentistry in the last few years. In the modern-day world, artificial intelligence refers to any machine or technology that is able to mimic human cognitive skills like problem solving. To understand AI, it is important to know few of these key aspects. Artificial intelligence is termed as a capability of machines that exhibits a form of its own intelligence. Its aim was to develop machines that can learn through data so that they can solve the problems. Machine learning is part of AI, which depends on algorithms to predict outcomes based on a dataset. The purpose of machine learning is to facilitate machines to learn from data so they can resolve issues without human input. Neural networks are a set of algorithms that compute signals via artificial neurons. The purpose of neural networks is to create neural networks that function like the human brain. Deep learning is a component of machine learning that utilizes the network with different computational layers in a deep neural network to analyse the input data. The purpose of deep learning is to construct a neural network that automatically identifies patterns to improve feature detection. The aim of this systematic review was to analyze whether artificial intelligence is helpful in diagnosis and management of oral mucosal lesions