Advances in the Application of Artificial Intelligence Technology in the Frailty State of Elderly Heart Failure Patients

Abstract

Abstract With social ageing, the prevalence of heart failure (HF) rises. As an end-stage symptom of heart disease, HF usually shows poor clinical prognosis and even threatens patients’ lives. As a senile syndrome, frailty has significant impacts on the developmental outcomes of HF patients (mortality, readmission rate, and body function). Hence, frailty should be clinically identified and alleviated in time to improve the prognosis for patients. Patients and medical workers should pay more attention to frailty to lower the incidence of adverse events, improve the survival, and prolong survival time among HF patients. Besides, it is essential to perform early clinical diagnosis and treatment of HF. With the development of science, artificial intelligence (AI) shows great potential in heart disease. At present, AI is applied in the auxiliary diagnosis and treatment of HF, which brings about great reform in the prevention, diagnosis, and treatment of clinical diseases. Therefore, brief and comprehensive exploration and analysis were performed on the relationship between senile HF and frailty and the effects of frailty on the prognosis for patients to enable readers to further understand the effects of frailty on HF and to concern more on HF combined with frailty. What’s more, applying AI in the diagnosis and treatment of HF was investigated and its advantages and limitations were analyzed to provide basis for further enhancing performance of AI in HF and improve clinical diagnostic accuracy for HF patients and poor prognosis.