Computer science’s artificial intelligence division is able to analyse intricate medical data. They can be employed in various clinical contexts for diagnosis, treatment, and outcome prediction due to their capacity to exploit important relationships within a data set. The terms “artificial intelligence” and “neural networks (computer)” were used in searches on Medline and the internet. By cross-referencing important papers, further references were found. This study presents an overview of several artificial intelligence approaches and an evaluation of significant therapeutic applications. Nearly every area of medicine has investigated the effectiveness of artificial intelligence methods. While fuzzy expert systems, evolutionary computation, and hybrid intelligent systems are examples of artificial intelligence techniques, artificial neural networks were the most widely utilised analytical tool. Medicine is becoming increasingly interested in explainable artificial intelligence (AI). In a technical sense, is an age-old issue in artificial intelligence, and traditional AI methods aimed to be understandable and traceable. Their inability to handle the uncertainties of the actual worl
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