Professor
The Ohio State University
Ohio State University
Columbus, Ohio, United States
Dr. Syed Husain is a Colorectal Surgeon serving as Associate Professor of Surgery-Clinical at The Ohio State University Wexner Medical Center. He is the Program Director for Colon and Rectal Surgery Fellowship Program and Medical Director of Surgical Unit.
Dr. Husain earned his medical degree from Dow Medical College Karachi, Pakistan. After completion of General Surgery residency at Harlem Hospital Center in New York, Dr. Husain went on to complete a Fellowship in Minimally Invasive Surgery at University of Rochester, NY followed by a Fellowship in Colon and Rectal Surgery at Brown University, RI. Board Certified in both General and Colon and Rectal Surgery, Dr. Husain is a member of several professional organizations and the recipient of several teaching and achievement awards. His clinical interests include evaluation and application of new surgical techniques and technology to the field of colorectal surgery with special focus towards utilization of minimally invasive platform. Dr. Husain has a keen interest in clinical research and has been awarded several society grants. He has extensively studied clinical outcomes in surgery and has authored multiple peer-reviewed publications in the fields of Minimally Invasive and Colorectal Surgery. In addition to clinical research, Dr. Husain is also engaged in surgical education research and investigating skill assessment in surgical trainees.
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Sunday, May 11, 2025
8:10 AM – 8:13 AM PT
Sunday, May 11, 2025
8:38 AM – 8:43 AM PT
EP297 - Inflammatory Bowel Disease is an Independent Predictor for Postoperative Complications
Sunday, May 11, 2025
8:38 AM – 8:43 AM PT
EP723 - Gender Bias Evaluation of Virtual vs In-Person Interviews for Colorectal Surgery Residency
Monday, May 12, 2025
10:47 AM – 10:52 AM PT
QS211 - Longitudinal Evaluation of Anal Dysplasia: Recurrence Rates and Gaps in Surveillance
Monday, May 12, 2025
10:36 AM – 10:39 AM PT
QS212 - Predicting High-Grade Anal Dysplasia Using a Novel Machine Learning Approach
Monday, May 12, 2025
10:41 AM – 10:45 AM PT