[Research progress and future prospects for artificial intelligence in the diagnosis and treatment of fatty liver disease].

The continuous advancement of artificial intelligence (AI)-related technologies is promoting a diagnosis and treatment model for fatty liver disease toward precision medicine. AI assistance reduces human error and enhances the accuracy of non-invasive diagnostics in the field of imaging. Additionally, AI can automatically identify and quantify key histological features when combined with multi-omics data in the field of pathology and can also build more efficient diagnostic and risk assessment models; meanwhile, it aids in personalized treatment decisions and outcome prediction. However, problems such as data heterogeneity, insufficient algorithm interpretability, and lack of multi-center validation remain to be solved, thus necessitating interdisciplinary and multi-center collaboration to promote the in-depth application of AI in the clinical practice of fatty liver disease. This review summarized the current research progress of AI in the diagnosis and treatment of fatty liver disease and discusses the existing issues and challenges.