HEALTHCARE DIAGNOSIS USING ARTIFICIAL INTELLIGENCE

Abstract

The term "artificial intelligence" (AI) refers to a machine's capacity to mimic human intellect. Artificial
intelligence, by using a variety of algorithms made possible by the exponential growth in computer power, aids medical
professionals in providing more accurate diagnoses and more effective treatments. Humans use AI for supervised and
unsupervised learning to help them reach their goals, which they first map out in their minds. Artificial neural networks, knearest
neighbors, support vector machines, decision trees, regression analysis classifiers, Bayesian networks, random
forests, and discriminant analyses are only few of the many methods utilized in AI. Faster interpretation and diagnosis in the
medical fields, including the quick diagnosis and treatment of cardiovascular disorders, psychiatric disorders,
gastroenterology, surgery, ophthalmology, etc., are just a few examples of how artificial intelligence (AI) can help patients.
The better the understanding and design of treatment regimens for cancer, the better. AI may be a helpful addition for
physicians in designing treatments, but it will never be able to replace human care because of its lack of a comprehensive
approach to management.