Valvular heart disease (VHD) is one of leading causes of cardiovascular morbidity and mortality worldwide. With the accelerated aging of the population, the prevalence of VHD continues to rise. However, current clinical diagnosis and management of VHD face substantial challenges. Traditional screening and diagnostic approaches are time-consuming and heavily reliant on specialist expertise. These result in frequent delays in diagnosis and causes many patients to miss the optimal window for treatment. With its powerful data analysis and pattern recognition capabilities, artificial intelligence (AI) is driving a revolution in the diagnosis and treatment of VHD. This review systematically summarizes the key applications and research advances of AI in VHD, focusing on three core areas: intelligent early screening, AI-assisted full-workflow echocardiographic diagnosis and intelligent risk stratification and prognostic prediction. This article further discusses the existing challenges and future directions. It is aiming to promote the clinical translation of AI technologies for the precision diagnosis and treatment of VHD.