Heart failure has high incidence and mortality rates worldwide. Artificial intelligence (AI) is increasingly used in the cardiovascular field. This article summarizes progress in combining AI technology with clinical examination method for the prediction of heart failure. AI can evaluate the structure of the heart, and predict heart failure by learning parameters from echocardiography. The electrocardiogram model established by AI has high agility in predicting heart failure. New biomarkers and gene involvement discovered by AI can guide the prediction of heart failure and the screening of high-risk populations. AI can also identify the risk of heart failure by learning other disease characteristics. AI technology has the advantages of convenience, reliability, and high efficiency for the prediction of heart failure, presented new possibilities and challenges for this field and provided valuable references for the clinical decision-making of medical specialists.