Student  |  MD Student

Nicole Bodnariuc

University of Toronto

BHSc

Location
University of Toronto
Address
Toronto, Ontario Canada
Research Interests
Machine learning, Natural language, Operations, AI adoption, Genomics, AI Education
Clinical Interests
data analysis, diagnosis, ethics, risk prediction, early warning clinical systems, clinical decision support systems

I am excited about the ability of AI to deliver more efficient, accurate, cost-effective, and overall higher quality healthcare. AI and other healthcare technologies can help us extract, analyze, and manage data from health information systems. This allows us to identify trends in data and make predictions about patients’ health faster than humans can, which can save a lot of lives! AI can also help by using the raw data in electronic health records and converting this into useful information. For example, to identify certain markers of a type of cancer or to check if a certain treatment could be used for an illness that wasn’t thought of before. The most brilliant AI tools will help us learn more about our health than we can even imagine, but they cannot empathize with patients the way humans can. This is why I think that AI and emerging health technologies have the ability to make medicine more patient-centred and human again. Many doctors are unable to spend as much time with patients as they would like. I am hopeful that AI can be used to save doctors time when it comes to administrative tasks, minimize human errors, and anticipate patient needs.