Vanderbilt Institute for Surgery and Engineering’s (VISE) Physician-in-Residence program provides an opportunity for physicians to collaborate with engineering colleagues in developing technologies that can advance surgery and other procedures. The initial goal of the six-month program is to develop a technology that would later translate to the procedural or surgical theater. In parallel, the joint team collects the initial data and plans a research proposal to a federal agency for funding.
The six-month program was implemented by the Vanderbilt University School of Engineering.
Past program participants
Fabien Maldonado, M.D.
associate professor of medicine and thoracic surgery
Dr. Maldonado will continue his collaboration with Robert Webster, Ph.D., associate professor of mechanical engineering, and his team to develop minimally invasive approaches to treatment of early lung cancer, using robotic bronchoscopic and thoracoscopic approaches to novel thermal ablative therapeutic interventions.
Shriji Patel, M.D., BA
Dr. Patel is working with Kenny Tao, Ph.D., assistant professor of biomedical engineering, and his engineering lab to construct and test optical coherence tomography (OCT) for intraoperative use during ophthalmic surgeries. This imaging modality would provide the surgeon with dynamic, real-time feedback to assist with surgical maneuvers and potentially improve outcomes.
associate professor of radiology and radiological sciences
Dr. Banovac will work with a team of engineers led by Mike Miga, Ph.D.,Harvie Branscomb Professor and Professor Biomedical Engineering, to develop technology that will improve the accuracy of tumor sampling during biopsy. The technology would allow longitudinal and serial biopsies of the metabolically active part of the tumor.
Ryan Hsi, M.D.
assistant professor, department of urologic surgery
Dr. Hsi will collaborate with Brett Byram, Ph.D., assistant professor of biomedical engineering, to develop nonlinear beamforming methods for kidney stone detection and sizing. These next-generation ultrasound methods for kidney stone imaging will improve the performance of ultrasound and potentially reduce reliance on CT imaging and associated ionizing radiation exposure.