Science Café – Improving Patient Outcomes in Surgery Using Machine Learning

Science Café – Improving Patient Outcomes in Surgery Using Machine Learning

Categories: Lectures and Seminars | Intended for

Wednesday, September 30, 2020

1:30 PM - 2:30 PM | Add to calendar

Location Details

Virtual Event Via Zoom Webinar

Contact Information

Office of the Dean of Science, 613-520-4388,



About this Event

Host Organization: Office of the Dean of Science
More Information: Please click here for additional details.

Guest Speaker: Matthew Holden, Assistant Professor, School of Computer Science

Optimizing patient outcomes is the primary goal of surgery. As modern technology, instruments, and sensors are incorporated into surgical practice, data-driven analysis becomes an avenue to further improve outcomes. Due to the diversity in disease, patients, and surgical techniques, however, it is essential that methods incorporate domain knowledge to increase robustness. In this talk, Prof. Holden will discuss the integration of machine learning on time series with surgical domain knowledge to improve surgery and surgical training. In particular, he will discuss how modern approaches to surgical data science facilitate: (1) real-time decision support in the operating room, (2) objective evaluation of different surgical approaches or technologies, (3) performance assessment and coaching, and (4) increased efficiency or reduced cost of surgery.

About the Science Café

Come and virtually join us for a lively discussion around a scientific issue of the day. Be prepared to be informed, engaged and even amused, as our professors share their scientific discoveries with you. All are welcome. For more information, please contact the Faculty of Science by email at

Attending via Zoom Webinar

Register using the link provided and detailed instructions will be emailed to you prior to the online event.