Cardiovascular diseases is the leading cause of threat to human life and health worldwide. Early risk assessment, timely diagnosis, and prognosis evaluation are critical to the treatment of cardiovascular diseases. Currently, the evaluation of diagnosis and prognosis of cardiovascular diseases mainly relies on imaging examinations such as coronary CT and coronary angiography, which are expensive, time-consuming, partly invasive, and require high professional competence of the operator, making it difficult to promote in the community or in areas where medical resources are scarce. The fundus microcirculation is a part of the human microcirculation and has similar embryological origins and physiopathological features to cardiovascular circulation. Several studies have revealed fundus imaging biomarkers associated with cardiovascular diseases, and developed and validated intelligent diagnosis and treatment models for cardiovascular diseases based on fundus imaging data. Fundus imaging is expected to be an important adjunct to cardiovascular disease diagnosis and treatment given its noninvasive and convenient nature. The purpose of this review is to summarize the current research status, challenges, and future prospects of the application of artificial intelligence based on multimodal fundus imaging data in cardiovascular disease diagnosis and treatment.

Objective To observe the clinical effect of Mirabegron combined with Silodosin on detrusor hyperactivity with impaired contractile (DHIC).Methods From September, 2019 to December, 2021, 40 patients with DHIC in the Department of Urology of Beijing Bo&#39;ai Hospital were selected and randomly divided into control group and experimental group, with 20 cases in each group. The control group took Silodosin only, and the experimental group took Mirabegron in addition, for four weeks. The urinary diary, residual urine volume, Overactive Bladder Symptom Score (OABSS) and quality of life (QOL) score were compared before and after treatment.Results A total of 18 patients in the control group and 19 in the experimental group finished the trial. After treatment, the number of night urination per day, the residual urine volume and QOL score improved in the control group (P<0.01); the number of urination per 24 hours, the number of night urination per day, the volume per urination, the residual urine volume, the daily urgency score, the OABSS score and QOL score improved in the experimental group (P<0.01). The number decrease of urination per 24 hours, the volume decrease of per urination, the daily urgency score decrease, the OABSS score decrease and QOL score decrease were more in the experimental group than in the control group (P<0.01). The adverse reactions included palpitations, increased heart rate, dyspareunia, increased blood pressure, gastric discomfort, postural hypotension, and retrograde ejaculation, and there was no significant difference between two groups (P > 0.05).Conclusion The efficacy of Mirabellone combined with Silodosin on DHIC is better than Silodosin only, and there was no significant increase in drug-related adverse effects.