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This systematic review evaluates the performance of artificial intelligence (AI) models in diagnosing liver fibrosis in patients with Metabolic-Dysfunction-Associated Steatotic Liver Disease (MASLD), comparing them to conventional diagnostic tools. The review included 21 studies with 19,221 patients, demonstrating that AI models consistently outperformed traditional non-invasive scores. However, limitations such as lack of external validation and methodological heterogeneity were noted, indicating the need

Author

Carmen Vazquez

Language

EN