Application of artificial intelligence in the diagnosis of autoimmune disorders

This article explores the application of artificial intelligence (AI) methods, such as machine learning and deep neural networks, to enhance the accuracy of autoimmune disorder diagnosis. Traditional diagnostic approaches often yield inaccurate results, crucial for timely and appropriate treatment. The article analyzes the advantages and limitations of applying AI for more precise patient classification based on symptoms, laboratory test results, imaging data, and other factors. It examines critical aspects of successfully employing AI in detecting multiple sclerosis and autoimmune liver diseases, while also addressing potential challenges and offering solutions.