Using Artificial Intelligence to Help Diagnose Pulmonary Hypertension with Data from Heart and Lung Exams

What this Trial Is About

Pulmonary hypertension PH is a complex condition with high risks if untreated. This research aims to use artificial intelligence AI to study and develop methods that simulate human intelligence for screening and diagnosing PH. The study focuses on combining various clinical data from patients who undergo right heart catheterization RHC to enhance early detection and diagnosis accuracy. The study collects routine examination data such as chest X-ray, electrocardiography, and echocardiography from patients at Fuwai Hospital. Patients undergo RHC to definitively diagnose PH based on mean pulmonary artery pressure mPAP levels. AI programs will be developed using these multimodal data to assist PH screening and diagnosis and to compare AI performance against conventional echocardiographic methods. Participants will have their clinical data collected during routine exams and RHC procedures. Researchers will use this information to train and validate AI algorithms. The main outcome measured is the accuracy of AI-assisted diagnosis of PH. Additional measures include sensitivity and specificity. The study aims to improve noninvasive detection tools, supporting timely diagnosis and better patient management.

Artificial Intelligence-assisted Evaluation of Pulmonary HYpertension