Chris McIntosh, PhD

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Chris McIntosh is a Senior Scientist at the Peter Munk Cardiac Centre and University Health Network Research Institute, and Assistant Professor at the University of Toronto, holding appointments in Medical Biophysics, Computer Science, and Medical Imaging. His research focuses on the theory and clinical application of AI in medicine for improving patient care, encompassing multimodal learning, meta learning, and explainable AI. His past work on AI in radiation therapy has received regulatory approvals and is used directly in patient care around the world. His current investigations include AI and wearable technologies for heart failure management, and using multimodal learning to build foundational models in healthcare. He has authored publications in clinical and technical venues including Nature Medicine, IEEE Transactions on Medical Imaging, the International Conference on Computer Vision, and Medical Image Computing and Computer Assisted Intervention.

The focus of my lab is on advancing the theory and application of artificial intelligence (AI) in medicine from bench-to-bedside.
  • Methodologies include transfer learning, meta learning, computer vision, and explainable AI to build clinically usable models
  • Close collaborations with clinical stake holders yield relevant clinical problems, and large data sets with tens of thousands of images
  • Developed technologies are used to prospectively provide patient care at UHN and globally
  • Diseases studied include prostate cancer, lung cancer, cardiovascular disease, and associated interventions
 

For a list of Dr. McIntosh's publications, please visit Scopus or ORCID.


Assistant Professor, Department of Medical Biophysics, University of Toronto
Assistant Professor, Department of Computer Science, University of Toronto
Assistant Professor, Department of Medical Imaging, University of Toronto
Faculty Affiliate, Vector Institute