Heart failure (HF) is a disease with high incidence rate and high mortality rate worldwide. Artificial intelligence (AI) is increasingly used in the cardiovascular field. This article summarizes the application and research progress of the combination of artificial intelligence technology and clinical examination methods in the prediction and diagnosis of heart failure based on the current status of AI. AI identifies the contraction of the heart chamber, evaluates the structure of the heart, and predicts heart failure by learning parameters from echocardiography. The electrocardiogram model established by AI has higher agility in predicting heart failure than clinical doctors; The new biomarkers and genetic genes discovered by artificial intelligence can guide the prediction and diagnosis of heart failure and the screening of high-risk populations. They can also identify the risk of heart failure and prevent its occurrence by learning other disease characteristics. Artificial intelligence technology has the advantages of convenience, reliability, and high efficiency in the early diagnosis of heart failure, providing new possibilities and challenges, and further guiding treatment and prognostic care.