Artificial Intelligence-assisted Evaluation of Pulmonary HYpertension

Conditions studied

Pulmonary Hypertension, Pulmonary Arterial Hypertension

About this study

Pulmonary hypertension represents a challenging and heterogeneous condition that is associated with high mortality and morbidity if left untreated. Artificial intelligence is used to study and develop theories and methods that simulate and extend human intelligence, which is being applied in fields related to cardiovascular diseases. The study intends to combine multimodal clinical data of patients who undergo right heart catheterization at Fuwai Hospital with artificial intelligence techniques to create programs that can screen and diagnose pulmonary hypertension.

Interventions

• Diagnostic Test: Right heart catheterization — RHC is commonly used essential test to make gold-standard diagnosis of PH with mPAP \>20 mmHg. All multimodal data from patients eligible for inclusion would be randomly assigned to development datasets (70% of the study population) to train the artificial intelligence models for the detection of PH, which would be validated and tested by other datasets (30% of the study population).

Primary outcomes

• Accuracy of diagnosis by artificial intelligence-assisted algorithm (Baseline)

Eligibility information

Study locations

• Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing Municipality 100037 China