Nitesh Gautam
Fellow Physician
University of Arkansas for Medical Sciences
faculty
COM | Housestaff Residents
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Nitesh Gautam's research focuses on the application of artificial intelligence and machine learning in cardiovascular disease and heart failure management. His work investigates contemporary uses of machine learning for device therapy in heart failure and its role in cardiovascular risk prediction and precision preventive approaches. Gautam has also explored the applications of artificial intelligence and wearables for remote monitoring in heart failure. His publications include systematic reviews on adverse events related to COVID-19 vaccination, such as thrombotic thrombocytopenic purpura and immune thrombocytopenia, as well as a case review of COVID-19 vaccine-induced myocarditis. He has also contributed to research on Human Epidermal Growth Factor Receptor 2 (HER2) as a biomarker in various cancers. Gautam has an h-index of 11 with 35 total publications and 413 citations, and collaborates with researchers at the University of Arkansas for Medical Sciences, including Subhi J. Al'Aref, Sai Nikhila Ghanta, Subodh Devabhaktuni, and Anand N. Venkata.
Metrics
- h-index: 11
- Publications: 35
- Citations: 413
Selected Publications
- Functional Biochemistry of Iron and Its Cardiopulmonary Impact (2026) DOI
- Contemporary Practices for Management of Subclinical Atrial Fibrillation (2025) DOI
- Exploring the feasibility of using artificial intelligence to simulate the placebo arm of randomized clinical trials (2025) DOI
- Clinical Course and Outcomes in Patients with Sjögren's Associated Interstitial Lung Disease (2025) DOI
- Hypoattenuated Leaflet Thickening Following Transcatheter Aortic Valve Replacement: Pathophysiology, Diagnosis, and Evolving Management Strategies (2025) DOI
- Metformin: Its salutary effects beyond diabetes mellitus (2025) DOI
- Clinical Course and Outcomes in Patients with Sjögren's Associated Interstitial Lung Disease (2025) DOI
- Addressing myocardial infarction in South-Asian populations: risk factors and machine learning approaches (2025) DOI
- Clinical parameters of death and heart failure hospitalization in biventricular systolic dysfunction assessed via cardiac magnetic resonance (2024) DOI
- The Interplay of Thiamine and Cardiovascular Diseases (2024) DOI
- Significance of abnormal stress electrocardiography with normal cardiac imaging during stress testing–a meta-analysis (2024) DOI
- Machine Learning in Cardiovascular Risk Prediction and Precision Preventive Approaches (2023) DOI
- One- versus two-specimen Xpert strategy to discontinue airborne isolation in suspected pulmonary tuberculosis: systematic review and meta-analysis (2023) DOI
- A Comprehensive Review on the Role of Human Epidermal Growth Factor Receptor 2 (HER2) as a Biomarker in Extra-Mammary and Extra-Gastric Cancers (2023) DOI
- Promises and challenges of machine learning for device therapy in heart failure (2023) DOI
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