Hepatic steatosis, also known as fatty liver disease, is a global health concern due to the accumulation of fat in the liver. Artificial intelligence (AI) has shown promise in diagnosing this disease through AI-based ultrasound imaging. This review examines the current state of research on AI's potential in diagnosing fatty liver disease. A search of 29 papers published between 2005 and 2024 was conducted, focusing on AI-assisted ultrasonography from various countries. One study demonstrated 100% diagnostic accuracy, highlighting AI's potential for fatty liver disease diagnosis. However, the studies had small sample sizes and disparities in AI systems and imaging methods. The research underscores the potential of AI in improving fatty liver disease detection and treatment through advanced imaging methods. Future research should focus on large-scale studies using standardized AI algorithms and imaging methodologies to confirm AI's usefulness in identifying this common medical disease.