Kashani, Kianoush
Mayo Clinic
8 papers on CoChatORCID 0000-0003-2184-3683
Most cited papers
- Verified
Association Between Early Treatment With Tocilizumab and Mortality Among Critically Ill Patients With COVID-19
Gupta, S., Wang, W., Hayek, S. S., Chan, L., Mathews, K. S., Melamed, M. L., Brenner, S. K., Leonberg-Yoo, A., Schenck, E. J., Radbel, J., et al. (2021) · JAMA Internal Medicine
COVID-19 Clinical Research StudiesRespiratory Support and Mechanisms
Cited by 535
- Verified
Neuropathology of COVID-19: a spectrum of vascular and acute disseminated encephalomyelitis (ADEM)-like pathology
Reichard, R. R., Kashani, K. B., Boire, N. A., Constantopoulos, E., Guo, Y., & Lucchinetti, C. F. (2020) · Acta Neuropathologica
Long-Term Effects of COVID-19Infectious Encephalopathies and Encephalitis
Cited by 479
- Verified
Creatinine: from physiology to clinical application
Kashani, K., Rosner, M. H., & Ostermann, M. (2020) · European Journal of Internal Medicine
Chronic Kidney Disease and DiabetesAcute Kidney Injury Research
Cited by 474
- Verified · note
Culture-Negative Severe Sepsis
Gupta, S., Sakhuja, A., Kumar, G., McGrath, E., Nanchal, R. S., & Kashani, K. B. (2016) · Chest
Sepsis Diagnosis and TreatmentAcute Kidney Injury Research
Cited by 232
- Verified
Development and validation of electronic surveillance tool for acute kidney injury: A retrospective analysis
Ahmed, A., Vairavan, S., Akhoundi, A., Wilson, G., Chiofolo, C., Chbat, N., Cartin-Ceba, R., Li, G., & Kashani, K. (2015) · Journal of Critical Care
Acute Kidney Injury ResearchHealthcare Technology and Patient Monitoring
Cited by 73
- Verified
A Video to Improve Patient and Surrogate Understanding of Cardiopulmonary Resuscitation Choices in the ICU: A Randomized Controlled Trial*
Wilson, M. E., Krupa, A., Hinds, R. F., Litell, J. M., Swetz, K. M., Akhoundi, A., Kashyap, R., Gajic, O., & Kashani, K. (2015) · Critical Care Medicine
Palliative Care and End-of-Life IssuesFamily and Patient Care in Intensive Care Units
Cited by 63
- Verified
Examining the Validity of ChatGPT in Identifying Relevant Nephrology Literature: Findings and Implications
Suppadungsuk, S., Thongprayoon, C., Krisanapan, P., Tangpanithandee, S., Garcia Valencia, O., Miao, J., Mekraksakit, P., Kashani, K., & Cheungpasitporn, W. (2023) · Journal of Clinical Medicine
Artificial Intelligence in Healthcare and EducationInformation Retrieval and Search Behavior
Cited by 56
- Verified
Identification of kidney-related medications using AI from self-captured pill images
Sheikh, M. S., Dreesman, B., Barreto, E. F., Thongprayoon, C., Miao, J., Suppadungsuk, S., Mao, M. A., Qureshi, F., Pham, J. H., Craici, I. M., et al. (2024) · Renal Failure
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 5
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