Dr. Masoom Haider
Joint Department of Medical Imaging, Mount Sinai Hospital, Sinai Health
Transforming cancer imaging with AI
Our team is using machine learning and artificial intelligence methods to analyze medical images and improve the detection, diagnosis and treatment of cancer. Our goal is to develop imaging biomarkers, measurable features seen on MRI and CT scans, that can help diagnose cancer earlier, predict its response to therapy and guide treatment decisions for prostate cancer, pancreatic cancer and other abdominal malignancies.
In prostate cancer, we have developed AI tools that can automatically identify and outline the prostate and areas of cancer sites on multi-parametric MRI scans. These tools help make image interpretation more consistent and support more personalized treatment planning.
In pancreatic cancer, we are studying how features seen on medical images relate to the biology of the tumour, specifically its immediate tissue surrounding, known as the tumour microenvironment. By understanding these connections, we aim to create non-invasive ways to assess the tumour microenvironment are improve the early detection.
Our computational image analysis pipeline incorporates the expertise of radiologists, pathologists and oncologists around medical imaging enabling us to translate medical imaging data into clinically useful information.
Email: [email protected]
600 University Avenue,
Toronto, M5G 1X5
Website: Haider Lab
Publications: PubMed
Google Scholar: Masoom Haider
Sinai Health Physician Profile: Masoom Haider
- 2024–present; Associate, Ontario Institute of Cancer Research
- 2021–present; Full Member, Institute of Medical Science, School of Graduate Studies, Temerty Faculty of Medicine, University of Toronto, Toronto
- 2021–present; Clinician Scientist, Princess Margaret Research Institute, Princess Margaret Hospital, Toronto
- 2019–present; Cross Appointment Institute of Biomedical Engineering, Faculty of Applied Science and Engineering, University of Toronto, Rank Professor
- 2018–2028; Chair in AI, Imaging Biomarkers and Radiomics, Sinai Health, Toronto
- 2018–present; Staff Radiologist and Clinician Scientist, Joint Department of Medical Imaging, Mount Sinai Hospital, Princess Margaret Cancer Center, University Health Network, Toronto
- 2018–present; Consultant Staff, Sunnybrook Health Sciences Center, Department of Medical Imaging, Toronto
- 2018–present; Senior Clinician Scientist, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto
- 2018–present; Director, AIMS Lab (Artificial Intelligence for Medical Imaging and Sinai), Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto
- 2018–present; Director, Sinai Health Systems Research MRI Facility
- 2018–present; Cross Appointment, Scientist, Sunnybrook Research Institute, Toronto
- 2011–present; Cross Appointment, Radiation Onocology, University of Toronto, Toronto
- 2010–present; Professor, Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto
Former appointments
- 2019–2024; Co-Director – Research and Innovation, Artificial Intelligence Center, Joint Dept of Medical Imaging, University Health Network, Sinai Health System and Women’s College Hospital, Toronto
- 2013–2017; Head of MRI, Dept of Medical Imaging, Sunnybrook Health Sciences Center, Toronto
- 2013–2017; Chief of Department, Medical Imaging, Sunnybrook Health Sciences Centre, Toronto
- Fellowship, Abdominal Imaging, Cleveland Clinic Foundation, Cleveland, OH, USA; 1994–1995
- MD, University of Ottawa School of Medicine, Ottawa, Canada; 1982–1986
- Bachelor Mathematics Honours, Computer Science, University of Waterloo, Waterloo, Canada; 1987–1990
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