K Sivakumar
Assistant Professor
Also affiliated: Government Medical College (2017); Lehigh Valley Hospital-Pocono (2017); Lutheran Medical Center (2015–2016); University of Wisconsin–Madison (2026); King's College - North Carolina (1986); Government Medical College (2008); Toronto Public Health (2024); Government of India (2024); University of Arkansas Medical Center (2025); Tamil Nadu Dr. M.G.R. Medical University (2018); Amsterdam UMC Location University of Amsterdam (2006); Health Net (2017); Salem Hospital (2016); Coimbatore Medical College and Hospital (2025); St. Elisabeth Hospital (2006); Government Medical College and Hospital (2019); Phoenix (United States) (2006); Government Medical College (2026); National Institute of Neurological Disorders and Stroke (1994); Ministry of AYUSH (2024–2025); King's College Hospital (1986–1993); Central Council for Research in Homoeopathy (2024–2025); Curaçao Medical Center (2006)
Faculty Researcher
Internal Medicine, College of Medicine
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
K Sivakumar's research interests encompass the intersection of internal medicine, with a focus on diabetes mellitus and its management. His work has explored the salutary effects of metformin beyond its role in diabetes treatment, and he has investigated the comparison of sodium and potassium values in arterial and venous blood samples. Sivakumar has also contributed to studies on the application of artificial intelligence and remote monitoring for heart failure, as well as machine learning for device therapy in heart failure. His publication record includes work on hemodynamic rounds and a case report on tobacco dependence treatment. Sivakumar has a h-index of 4, with 37 total publications and 45 total citations. He collaborates with Nitesh Gautam, Subhi J. Al’Aref, Sai Nikhila Ghanta, and Kalaivani Sivakumar at the University of Arkansas for Medical Sciences.
Metrics
- h-index: 4
- Publications: 37
- Citations: 45
Selected Publications
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E-93 | Population-level Impact of Advancing Valvular Interventions on Mortality from Atrial Fibrillation and Flutter Among Adults with Nonrheumatic Valvular Heart Disease in the United States: A CDC-WONDER Analysis from 1999-2023 (2026)
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TCT-200 Association between the Occurrence of Coronary In-Stent Restenosis in Post-Renal Transplant Recipients and Adverse Cardiovascular Events (2025)
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ECHOCARDIOGRAPHIC INDICES FOR PROGNOSTICATION OF HEART FAILURE OUTCOMES IN SICKLE CELL DISEASE (2025)
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Metformin: Its salutary effects beyond diabetes mellitus (2025)
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Positive Implications of Introducing Mindfulness Techniques as a Platform for Preoperative Stress Reduction to Improve Patient Outcomes Postpercutaneous Coronary Intervention (2024)
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Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications (2022)
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Contemporary Applications of Machine Learning for Device Therapy in Heart Failure (2022)
Collaboration Network
Top Collaborators
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Metformin: Its salutary effects beyond diabetes mellitus
- ECHOCARDIOGRAPHIC INDICES FOR PROGNOSTICATION OF HEART FAILURE OUTCOMES IN SICKLE CELL DISEASE
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Positive Implications of Introducing Mindfulness Techniques as a Platform for Preoperative Stress Reduction to Improve Patient Outcomes Postpercutaneous Coronary Intervention
- ECHOCARDIOGRAPHIC INDICES FOR PROGNOSTICATION OF HEART FAILURE OUTCOMES IN SICKLE CELL DISEASE
- Metformin: Its salutary effects beyond diabetes mellitus
- TCT-200 Association between the Occurrence of Coronary In-Stent Restenosis in Post-Renal Transplant Recipients and Adverse Cardiovascular Events
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
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