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ForwardVidit Sharma, MD
I am an Assistant Professor of Urology with a surgical focus on kidney cancer. My research focus is in surgical outcomes research and artificial intelligence broadly across urologic oncology.
As an undergraduate economics major at Northwestern University, I have always been eager to analyze and learn from data. As a result, I gained experience analyzing surgical and diagnostic outcomes using national and institutional datasets during medical school at Northwestern University. After finishing Urology residency at Mayo Clinic in 2019, I was accepted to the Veteran’s Health Administration Health Services Research & Development fellowship at UCLA. This was folded into a 3 year (2019-2022) Society of Urologic Oncology fellowship that was split between UCLA and Mayo Clinic. As part of this program, I obtained a Master’s of Science in Health Services Research at UCLA. These years helped formalize my understanding of health services research methods in clinical data analysis, artificial intelligence applications, and health economic modeling, while allowing me to foster collaborations with mentors in these disciplines.
Since my fellowship, I was hired as an assistant professor at Mayo Clinic in 2022 and I was appointed as the Associate Program Director of the Urologic Oncology Fellowship starting in July of 2024. I mentor oncology fellows through their research and spend at least 2 months with each fellow on my service through the mentorship model structure of our training program.
I have maintained an active research program, publishing over 120 articles indexed on Medline along with several editorials and book chapters. I have used cost-effectiveness analyses that use Markov modeling to inform therapeutic algorithms in prostate, bladder, and kidney cancer. Given my health services research background, I am also Principal Investigator of Mayo Clinic’s prospective Nephrectomy Registry and have published studies related to RCC risk stratification and surgical outcomes. I have used my background to obtain internal and external grant funding for artificial intelligence algorithms to: 1) automatically identify kidney tumors on CT scans, and 2) improve outcomes for RCC patients with venous tumor thrombus.
Specifically, I have obtained the Research Scholar Award ($80,000) from the American Urologic Associations Urology Care Foundation to improve outcomes with RCC and venous tumor thrombus. I have also obtained over $300,000 in internal funding to improve bladder cancer staging. I also am the co-PI on a current Department of Defense grant that has been recommended for funding to differentiate benign from malignant renal tumors.
As an undergraduate economics major at Northwestern University, I have always been eager to analyze and learn from data. As a result, I gained experience analyzing surgical and diagnostic outcomes using national and institutional datasets during medical school at Northwestern University. After finishing Urology residency at Mayo Clinic in 2019, I was accepted to the Veteran’s Health Administration Health Services Research & Development fellowship at UCLA. This was folded into a 3 year (2019-2022) Society of Urologic Oncology fellowship that was split between UCLA and Mayo Clinic. As part of this program, I obtained a Master’s of Science in Health Services Research at UCLA. These years helped formalize my understanding of health services research methods in clinical data analysis, artificial intelligence applications, and health economic modeling, while allowing me to foster collaborations with mentors in these disciplines.
Since my fellowship, I was hired as an assistant professor at Mayo Clinic in 2022 and I was appointed as the Associate Program Director of the Urologic Oncology Fellowship starting in July of 2024. I mentor oncology fellows through their research and spend at least 2 months with each fellow on my service through the mentorship model structure of our training program.
I have maintained an active research program, publishing over 120 articles indexed on Medline along with several editorials and book chapters. I have used cost-effectiveness analyses that use Markov modeling to inform therapeutic algorithms in prostate, bladder, and kidney cancer. Given my health services research background, I am also Principal Investigator of Mayo Clinic’s prospective Nephrectomy Registry and have published studies related to RCC risk stratification and surgical outcomes. I have used my background to obtain internal and external grant funding for artificial intelligence algorithms to: 1) automatically identify kidney tumors on CT scans, and 2) improve outcomes for RCC patients with venous tumor thrombus.
Specifically, I have obtained the Research Scholar Award ($80,000) from the American Urologic Associations Urology Care Foundation to improve outcomes with RCC and venous tumor thrombus. I have also obtained over $300,000 in internal funding to improve bladder cancer staging. I also am the co-PI on a current Department of Defense grant that has been recommended for funding to differentiate benign from malignant renal tumors.
Financial relationships
There are no financial relationships to disclose.