AI Seminar Series 2022: Robert Paproski

The AI Seminar is a weekly meeting at the University of Alberta where researchers interested in artificial intelligence (AI) can share their research. Presenters include both local speakers from the University of Alberta and visitors from other institutions. Topics can be related in any way to artificial intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems.

On Sept. 2, Robert Paproski — CTO of Nanostics — presented "Lessons Learned Developing Predictive Models for Healthcare" at the AI Seminar.

Over the past decade, significant interest has developed for using machine learning in medical devices to assist in the diagnosis and risk prediction of diseases. Many publications have demonstrated promising preliminary results although the path of deploying a predictive model in the clinic is challenging from a technological and regulatory perspective. This presentation discusses Nanostics’ work developing ClarityDX Prostate, a medical device which predicts clinically significant prostate cancer, including the challenges of obtaining FDA approval. Training predictive models on large, diverse, clinical datasets is vital for developing trustworthy models, although obtaining such datasets can be problematic. Potential solutions for working with large clinical datasets are discussed.

Watch the full presentation below:

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