Join the Machine Learning in Medical Imaging Consortium (MaLMIC) for an opportunity to network on machine learning
MaLMIC Virtual Open Forum on the use of AI in Surgical Training
Join us for an exciting session on how AI is transforming surgical education. Rebecca Hisey presents explainable, video-based assessment methods that move beyond score prediction, using instrument-motion analysis and workflow-aware models to deliver interpretable, task-level feedback and more consistent, individualized training. Matthew Holden follows with a systems-focused look at integrating domain knowledge into machine learning to address challenges like limited datasets, patient variability, and human–machine collaboration. Together, these talks showcase emerging AI-driven approaches that enhance assessment, improve feedback, and elevate the next generation of surgical training.
December 12th, 2025
3:00 to 4:30 p.m. Eastern
Interested in joining? Please contact us.
MaLMIC Virtual Open Forum on the use of AI in Surgical Training
Join us for an exciting session on how AI is transforming surgical education. Rebecca Hisey presents explainable, video-based assessment methods that move beyond score prediction, using instrument-motion analysis and workflow-aware models to deliver interpretable, task-level feedback and more consistent, individualized training. Matthew Holden follows with a systems-focused look at integrating domain knowledge into machine learning to address challenges like limited datasets, patient variability, and human–machine collaboration. Together, these talks showcase emerging AI-driven approaches that enhance assessment, improve feedback, and elevate the next generation of surgical training.
December 12th, 2025
3:00 to 4:30 p.m. Eastern
Interested in joining? Please contact us.
Rebecca Hisey, PhD, Postdoctoral Fellow
Department of Translational Surgical Oncology at the National Center for Tumor Diseases
Dresden, Germany
Rebecca Hisey completed her PhD in the School of Computing at Queen’s University. Rebecca’s research focuses on applying AI to surgical education and clinical training, with collaborations with clinical partners in surgery, ophthalmology, and anesthesiology. The primary focus of her research has been to design and validate video-based methods of technical skill assessment to improve the quality of feedback to medical trainees learning a variety of surgical skills. Rebecca is currently a Postdoctoral Fellow in the Department of Translational Surgical Oncology at the National Center for Tumor Diseases in Dresden, Germany.
Matthew Holden, PhD, Associate Professor
Carleton University
Matthew Holden is an Associate Professor in the School of Computer Science at Carleton University. His primary research interest is in Surgical Data Science. Matthew uses machine learning for time series data to improve outcomes in surgery and surgical training, based on sensor information collected in the operating room or simulation environment. Due to the diversity in patients and the cost of adverse outcomes, Matthew advocates for the incorporation of domain knowledge into machine learning for surgery. His work facilitates real-time decision support in the operating room, performance assessment and coaching, and increased surgical efficiency.