Considerations for Implementing AI Decision Aids in Radiation Oncology

As technology advances and the use of artificial intelligence (AI) technology is adopted in various fields, there are increasing efforts to develop AI technology for healthcare applications to improve care delivery and patient outcomes. However, there are few examples of AI technology currently being used in clinical settings. Thus in the formation of this project, the team wanted to understand why this disparity exists.

Capstone Summary:

The application of AI technologies in the healthcare sector has been of great interest in recent years. There have been significant investments made into developing these technologies (Murphy, 2017; Silcoff, 2018; KPMG, 2018), and AI in healthcare has been the topic of numerous conferences (O’Neil, 2017), editorial commentaries (Beam & Kohane, 2016; Norrie, 2018; Naylor, 2018; Hinton, 2018), and news blogs (Siwicki, 2017; Siwicki, 2019; Towers-Clark, 2018; HIMSS, 2018). Of the many possible applications, the use of ML technology to generate predictions to inform medical decision-making has incited discussion of the implications on the health system (Kuziemsky, 2016; Shahid et al., 2019). Extensive research and development has been conducted for AI technology for healthcare, however there remain few examples of successful AI implemented in health settings (Lancet, 2018).

Capstone Team: 

Ms. Paige Gilbank, HBSc Biomedical Science HBSc Biomedical Science

TECHNA Institute TECHNA Institute
Research Analyst on the Cancer Informatics Team Research Analyst on the Cancer Informatics Team

 

Ms. Kaleigh Johnson-Cover, HBSc. Biomedical Science HBSc. Biomedical Science

Supported Learning Groups, University of Guelph Neuropotential Clinics Supported Learning Groups, University of Guelph Neuropotential Clinics
Program Assistant Neurofeedback Mentor Program Assistant Neurofeedback Mentor

 

Ms. Tran Truong, BMath Honours Computer Science BMath Honours Computer Science

Health Informatics Research, Techna, University Health Network PM Data Science, University Health Network Health Informatics Research, Techna, University Health Network PM Data Science, University Health Network
Manager Project Director Manager Project Director

 

Capstone Supervisor:

No items found

Capstone Advisory Committee:

Dr. Jennifer Jones, PhD

Cancer Rehabilitation and Survivorship Program and the Centre for Health Wellness and Cancer Survivorship (ELLICSR), Princess Margaret cancer Centre Ontario Cancer Institute Department of Psychiatry and Dalla Lana Faculty of Public Health, University of Toronto.
Director Scientist Associate Professor

Greg A. Jamieson, PhD, P.Eng.

University of Toronto
Professor, Industrial Engineering

Michael W. Carter, PhD, LEL, FCAE

University of Toronto
Professor, Industrial Engineering

Jennifer Bell,

University of Toronto
Assistant Professor

"The TRP gives us an opportunity to hear from different discussants every week. It’s inspiring to interact with individuals who have so much experience to share, whether it’s their successes or failures.”

 - Nabilah Juma, Cohort 2017