Researchers at University of Regina Target Artificial Intelligence (An Analytical Review On the Use of Artificial Intelligence and Machine Learning In Diagnosis, Prediction, and Risk Factor Analysis of Multiple Sclerosis).

Researchers at the University of Regina in Canada have conducted a study on the use of artificial intelligence (AI) and machine learning (ML) in the diagnosis, prediction, and risk factor analysis of multiple sclerosis (MS). The study found that AI and ML techniques can offer accurate and effective alternatives to mapping MS progression. The researchers analyzed 103 papers and identified various AI and ML methods that can improve diagnostic accuracy and identify MS risk factors. The study concluded that combining techniques can improve efficiency and overall performance. The research has been peer-reviewed and provides valuable insights into the potential of AI and ML in MS research. [Extracted from the article]