Dr. Jonathan A. Laryea

MD, MSc, FACS, FASCRS, FWACS, Professor of Surgery, Chair, Surgical Section at the National Medical Association, Nolie and Norma Mumey Endowed Chair in Surgery, Chief, Division of Colon and Rectal Surgery, Vice Chair for Quality at the Department of Surgery, Medical Director, Cancer Service Line at the Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, USA Colorectal Surgery
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Dr. Jonathan A. Laryea is a Professor of Surgery and Chief of the Division of Colon & Rectal Surgery in the Department of Surgery at the University of Arkansas for Medical Sciences (UAMS).
He completed his medical training at the University of Ghana Medical School in 1998. Afterward, he completed his internal medicine internship at St. Raphael’s Hospital (a Yale Affiliate) in New Haven, Connecticut. He then did his General Surgery Internship and Residency at Waterbury Hospital Health Center (a Yale University Affiliate) in Waterbury, Connecticut. He then completed a Colon and Rectal Surgery Fellowship at Georgia Colon and Rectal Surgery Clinic in Atlanta.
Dr. Laryea is board certified in General Surgery, Colorectal Surgery, and Clinical Informatics. He is a member of numerous surgical societies. In addition to serving on multiple committees, he also serves on the Executive Council of the American Society of Colon and Rectal Surgeons.
Dr. Laryea is the Medical Director of the Cancer Service Line at the Winthrop P. Rockefeller Cancer Institute at UAMS. He also serves as the Arkansas State Chair for the Commission on Cancer for the American College of Surgeons. He previously served as the Associate Program Director for the Surgery Residency Program for several years and Chair of the Admissions Committee of the College of Medicine at UAMS. His clinical interests are in minimally invasive surgery including advanced laparoscopic and robotic surgery for colorectal cancer and other colorectal diseases. His research interests include racial disparities in cancer care and using Machine Learning and Artificial Intelligence to predict cancer outcomes.