Development and Implementation of an Artificial Intelligence-based Decision Support Tool for Neurosurgical Intervention in Acute Traumatic Brain Injury
Dr. Christopher Witiw
Assistant Professor
Surgeon-Investigator
Department of Surgery
University of Toronto
Date: Friday, November 3, 2023
Time: 1–2 p.m. EDT
Host: Dr. Venkat Bhat
Location: In-person and virtual
In-person: Li Ka Shing Knowledge Institute Auditorium and via Zoom
Refreshments will be served.
Lecture Takeaways
The main takeaways are as follows:
- Triage of traumatic brain injured patients is challenged by heterogeneous presentations, variable need for surgery and large geographic distances covered by relatively few specialized hospitals with neurosurgical capabilities.
- This lecture will cover the development and preliminary clinical implementation of an artificial intelligence-based model termed the Automated Surgical Intervention Support Tool for Traumatic Brain Injury (ASIST-TBI).
- ASIST-TBI is capable of automatically and accurately assessing computed tomography imaging of a brain injured patient to classify the need for surgical intervention. This tool exhibits the potential to optimize inter-facility traumatic brain injury triage and, therefore, improve both resource allocation and patient care.
Biography
Dr. Christopher Witiw is a neurosurgeon and scientist at Unity Health Toronto and an assistant professor of neurosurgery at the University of Toronto. He is an early-career researcher with extensive experience in health economic evaluations and database linkages for the purpose of health services research analyses. He has a specific research interest in artificial intelligence in clinical medicine for the purpose of optimizing efficiency and improving quality of care.
No sign-up is required. For more information, contact the iBEST coordinator at ibest@torontomu.ca.
