Artificial Intelligence
Leveraging advanced high-performance computational infrastructure, the Bioinformatics Department at Rajaie Cardiovascular Medical and Research Center provides state-of-the-art research and clinical services in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).
AI Research Projects Conducted in Bioinformatics Department
10 Key Projects
Evaluation of risk factors and machine learning approaches to predict in-hospital mortality in patients undergoing prosthetic heart valve replacement surgery.
Machine learning-based classification of normal and abnormal electrocardiograms (ECG) among school students aged 6–18 in Tehran.
Assessment of patient satisfaction and healthcare rights compliance at Rajaie Heart Hospital using artificial intelligence.
Investigation of clinical, electrophysiological, echocardiographic, cardiac MRI, and genetic findings in patients with arrhythmogenic cardiomyopathy.
Analysis of demographic characteristics of cardiovascular patients at Rajaie Heart Center and 5-year trend forecasting using mathematical models (Time Series & TOPSIS) and AI.
Investigation of incidence trends and outcomes of myocardial infarction over the past 5 years and in-hospital mortality prediction using machine learning in STEMI and NSTEMI patients.
Prediction of myocardial iron overload using machine learning integrated with clinical parameters and cardiac MRI radiomics in thalassemia patients.
Survival prediction in hypertrophic cardiomyopathy (HCM) patients using cardiac MRI radiomics and clinical features.
Prediction of mutation status in LRRK2 and GBA genes in Parkinson’s disease using clinical data and radiomic features extracted from DaT SPECT images.
Correlation between whole-exome sequencing analysis results and clinical/radiomic features from DaT SPECT imaging in Parkinson’s disease patients.