Articial intelligence is a computer algorithm that can be used to solve problems. It has the ability to classify a data set correctly once it is trained properly. There are increasing complexities of articial intelligence from one where the best set of characteristic that dene data is chosen by the programmer to where it is selected by the machine itself. Articial intelligence is particularly useful in pattern recognition and as endoscopy deals with images it has found its use in this medical eld.Articail intelligence can be utilized in whole range of endoscopic procedures. If trained properly its efcacy is comparable to the experts and sometimes even exceeds them. It can simplify work in a busy endoscopy suite and even is cost effective. The term Articial intelligence was coined by John McCarthy and in its simplest terms refers to creating algorithms to solve problems, which need human intelligence. Articial intelligence has become a vital part of life, thanks to tech giants like apple and amazon, which have launched Siri and Alexa. It is an umbrella term and has many subsets with increasing complexities. In classic machine learning humans choose the best feature to dene and classify the data set where as in deep learning the machine itself learns and chooses the characteristics of data set which best classies them. The articial neural network simulated human brain. Multiple inputs are converged into the algorithm and is given specic weight and nally output is generated. For creation of any articial intelligence system there is an initial training phase where the articial intelligence model learns to classify the data set .During validation phase, if a wrong output is generated there is a mechanism for correction called backpropagation where weight of input is adjusted and data is reclassied.