Advances in Artificial Intelligence Based Diagnosis and Treatment of Liver Diseases – Correspondence

Abstract

A large volume of patient data (multimodal) is generated by medical care in modern times. Processing and synthesis of such data to actionable knowledge is troublesome for several clinicians. In this regard, there is an emergence of artificial intelligence (AI) as an efficacious tool having useful applicability in medical science and the field of hepatology is not an exception. There are an ever increasing number of studies from which the use of AI in the diagnosis and therapy of hepatic disorders become evident. These techniques include algorithms (machine learning) viz., regression models, support vector machines, and Bayesian network for predicting the progression of disease or complications as well as mortality associated with the disease. For interpretation of pathologic as well as radiologic images in an automated fashion quickly, deep-learning algorithms are available.