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In this episode of "A Coffee with Dr. Anai Kothari," the discussion focuses on how to leverage Artificial Intelligence for cancer care and research. Dr. Kothari explores the practical applications of AI in oncology, examining its role in enhancing clinical decision-making and accelerating research outcomes. In alliance with the Society of Asian Academic Surgeons, the session provides a technical perspective on integrating these emerging technologies into oncological practice to improve patient care and scientific discovery.
Anai N. Kothari, MD MS is an Assistant Professor in the Division of Surgical Oncology, Department of Surgery at the Medical College of Wisconsin. He holds additional faculty appointments in the Clinical & Translational Science Institute of Southeast WI (CTSI) and the MCW Data Science Institute. He received his BS and MD at the University of Wisconsin-Madison. Dr. Kothari completed his General Surgery training at Loyola University Medical Center where he also earned a Master’s degree in Epidemiology with a focus on Predictive Analytics and Machine Learning. This was followed by a fellowship in Complex General Surgical Oncology at the University of Texas MD Anderson Cancer Center. Dr. Kothari’s clinical expertise is the surgical treatment of upper gastrointestinal tract and advanced cancers of the GI tract, including stomach, liver/bile duct, and peritoneum.
He is an active researcher with a focus on improving clinical care through personalizing treatment, digitalizing care delivery, and the responsible deployment of artificial intelligence. He is the Inaugural Director of the Bud and Sue Selig Hub for Surgical Data Science, Director of the MCW Cancer Center’s Integrated Cancer Data Resource, and the AI Lead for Inception Health. Dr. Kothari has published over 100 peer-reviewed scientific articles and is a member of several national societies including the Society of Surgical Oncology, American College of Surgeons, Society of Asian Academic Surgeons, Association for Academic Surgery, and the American Medical Informatics Association.
