Anne Martel

Dr. Martel’s group focuses on the development and application of novel artificial intelligence methods to extract information from medical images. In particular, to detect, and diagnose disease, to predict clinical outcomes, and to assess response to therapy.

Areas of particular interest include

• Analysis of digital pathology images using AI to detect cancer and to provide prognostic information that can guide treatment decisions
• Assessment of breast MRI and mammogram images using AI to differentiate between invasive and non-invasive cancer
• Integration of imaging, pathology, genomics and clinical data to create more powerful and accurate multi-modal models.
• Development of AI methods for self-supervision that allow powerful models to be trained more efficiently
• Translation of AI models into the clinic

Education

• B.Sc., 1987, Physics, King’s College London,
• PhD, 1992, Medical Physics and Bioengineering, University of Sheffield, UK,

Appointments & Affiliations

• Senior Scientist, Physical Sciences, Odette Cancer Research Program, Sunnybrook Research Institute
• Professor, Medical Biophysics, University of Toronto
• Tory Family Chair in Oncology