ISSN: 2996-671X
Authors: Aher RB*, Jadhav S, Sharma Y and Pawar P
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 world was a drawback, though. Applications grew more and more successful when probabilistic learning was introduced, but they also became more and more opaque. The introduction of traceability and transparency in statistical black-box machine learning techniques, especially deep learning (DL), is the focus of explainable AI. Artificial intelligence is a branch of computer science that can assess complex medical data. Their capacity to find and use meaningful links in a dataset can be used for outcome prediction, therapy, and diagnosis in a variety of therapeutic settings. Additional references were found by cross-referencing significant articles. This paper presents an overview of numerous artificial intelligence algorithms and reviews important therapeutic applications. Every field of medicine has looked into how well artificial intelligence tools work. Artificial neural networks were the most widely used analytical tool; other artificial intelligence techniques included fuzzy expert systems, evolutionary computation, and hybrid intelligent systems.
Keywords: Machine Learning, Electronic Health Record; Natural Language Processing; Software; Human Intelligence in Machine
