Dr. Alexander Wong, a professor of systems design engineering, has teamed up with other researchers from the University of Waterloo, McGill University, and the National Research Council of Canada to develop a more trustworthy method to diagnose diseases such as COVID-19, pneumonia, and melanoma using artificial intelligence (AI) tools.
The researchers created a system they’ve dubbed Trustworthy Deep Learning Framework for Medical Image Analysis (TRUDLMIA), which leverages the power of supervised and self-supervised AI learning that aims to pave the way for advancements in high-performing and trustworthy healthcare models.
“Models employing the TRUDLMIA approach outperform existing ones in various tasks, excelling in COVID-19, pneumonia, and melanoma diagnosis, surpassing models specifically designed for those tasks in terms of both performance and trust,” said project lead Dr. Wong, the Canada Research Chair in Medical Imaging and Artificial Intelligence. “The proposed system is undergoing further development to address future pandemics and syndromes, including long-term effects associated with COVID-19.”
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Dr. Alexander Wong, a professor of Systems Design Engineering and the Canada Research Chair in Medical Imaging and Artificial Intelligence.