Intraoperative Monitoring Research Training
Faculty in the Division of Intraoperative Monitoring offer dynamic research training opportunities to medical students and residents.
Resident and Medical Student Research
Residents and medical students interested in research opportunities should contact the investigators below.
Research Opportunities with Dr. Zoran M. Budimlija
With Zoran M. Budimlija, PhD, students and residents can participate in a time series analysis on intraoperative monitoring data. The research team applies artificial intelligence (AI) deep learning models utilizing time-series analysis on retrospective intraoperative neurophysiology monitoring data to help in detection of anomalies in the datasets and to ultimately predict post-surgery outcomes.
Research Opportunities with Dr. Athena M. Lolis
With Athena M. Lolis, MD, students and residents can participate in research applying neurophysiologic data for outcomes of surgery to predict neurologic complications and outcomes.
Research Opportunities with Dr. Anna Shor
With Anna Shor, MD, students and residents can participate in the following research projects:
- correlation of IOM data with clinical outcome of the spinal surgeries
- C5 palsy after the cervical spine surgeries
- effect of peripheral ischemia on “train of four”
Research Opportunities with Dr. Ming Xu
With Ming Xu, MD, PhD, students and residents can participate in the following research projects:
- intraoperative transcranial motor evoked potential (MEP) monitoring of facial nerve during cerebellopontine angle (CPA) tumor resection; facial MEP is a recently established IOM modality and special for large CPA and brainstem tumor resection
- increasing the intensity stimulus during surgery auditory brainstem response (ABR) may allow for waveform recovery in hearing preservation; retrosigmoid approach for resection of acoustic neuroma and/or meningioma of the CPA with intended hearing preservation