Area of research
Cardiology and Cardiovascular Medicine · Artificial Intelligence
Research interest
Research interests include ECG Monitoring and Analysis, Machine Learning in Healthcare, COVID-19 Clinical Research Studies, and Artificial Intelligence in Healthcare and Education.
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings
Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction
Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
Clinical Characteristics of Hospitalized Covid-19 Patients in New York City
Acute Kidney Injury in Hospitalized Patients with COVID-19
Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City
Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients