Artificial Intelligence in the Assessment and Management of Nutrition and Metabolism in Liver Disease

AbstractPurpose of ReviewArtificial Intelligence (AI) has the potential to transform detection and management of nutrition-related complications through advances in wearable technology, mobile applications, and machine learning. The literature, however, lacks studies specific to the interplay between AI and nutrition in patients with liver disease. The aim of this article is to address the current state of AI in nutrition and metabolic liver disease. We seek to understand how AI can be utilized to address gaps in the care of patients with liver disease, particularly as it relates to their nutrition.Recent FindingsAdvances in AI, particularly in deep learning, have led to improved performance of diagnostic and prognostic models across many disease processes. AI-based systems in this realm include predictive modeling, natural language processing (NLP), and image recognition.SummaryUltimately, large-scale studies are needed to validate the use of AI in assessing and improving nutrition in this population.
Source: Current Hepatitis Reports - Category: Infectious Diseases Source Type: research