Data and AI: Foundations and Function in RO and Diagnostic Imaging | Newbridge 1
January 30, 2026 from 10:15am EDT to 12:00pm EDT
By the end of this session, participants will be able to:
- Describe the foundational components required to effectively leverage big data and AI at both local and system-wide levels.
- Identify current areas of exploration and innovation in AI that have the potential to enhance the quality of care.
- Explain how AI can support clinical decision-making, improve quality and operational efficiency, and enable standardized approaches that strengthen emergency preparedness.
Speakers / Panelists
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Data and AI: Foundations and Function in RO and Diagnostic Imaging | Newbridge 1
January 30, 2026 from 10:15am EDT to 12:00pm EDT -
Data and AI: Foundations and Function in RO and Diagnostic Imaging | Newbridge 1
January 30, 2026 from 10:15am EDT to 12:00pm EDT -
Data and AI: Foundations and Function in RO and Diagnostic Imaging | Newbridge 1
January 30, 2026 from 10:15am EDT to 12:00pm EDT -
Lessons Learned or Lessons Ignored: Are We Ready? | Newbridge 1
January 31, 2026 from 11:30am EDT to 12:30pm EDT -
A critical assessment of the current state of quality in Canada | Newbridge 1
January 29, 2026 from 1:00pm EDT to 2:00pm EDT -
Data and AI: Foundations and Function in RO and Diagnostic Imaging | Newbridge 1
January 30, 2026 from 10:15am EDT to 12:00pm EDT -
Lessons Learned or Lessons Ignored: Are We Ready? | Newbridge 1
January 31, 2026 from 11:30am EDT to 12:30pm EDT -
Data and AI: Foundations and Function in RO and Diagnostic Imaging | Newbridge 1
January 30, 2026 from 10:15am EDT to 12:00pm EDT -
Data and AI: Foundations and Function in RO and Diagnostic Imaging | Newbridge 1
January 30, 2026 from 10:15am EDT to 12:00pm EDT -
Workforce Planning: Not Your Traditional Solutions | Newbridge 1
January 31, 2026 from 10:00am EDT to 11:30am EDT -
Data and AI: Foundations and Function in RO and Diagnostic Imaging | Newbridge 1
January 30, 2026 from 10:15am EDT to 12:00pm EDT -
Workforce Planning: Not Your Traditional Solutions | Newbridge 1
January 31, 2026 from 10:00am EDT to 11:30am EDT
Jean-Pierre Bissonnette
Associate Head, Medical Physics
Jean-Pierre Bissonnette
Jean-Pierre Bissonnette
Associate Head, Medical Physics
Dr. Jean-Pierre Bissonnette is the Associate Head for Professional and Academic Affairs for the Department of Medical Physics at the Princess Margaret Cancer Centre, where he has been employed since 2003. He obtained his M.Sc. from McGill University and his Ph.D. from the University of Western Ontario, in 1996. He is a Professor at the University of Toronto Departments of Radiation Oncology and Medical Biophysics, and the Program Director of the Medical Physics PhD Specialization. With over 80 peer-reviewed publications, Dr. Bissonnette’s research has involved quality assurance and patient safety, high-precision radiotherapy for the brain and the lung, post-graduate education, and using PET, CT, and CBCT images to monitor treatment response for lung cancer patients and assess whether treatment adaptation is warranted. He chaired the AAPM TG-179 task group on CT-based image-guidance in radiotherapy. Current research topics include dose reconstruction based on image-guidance images, image-based adaptation of therapy, and using statistical tools to rationalize and limit the cost of quality control. Through his involvement with Cancer Care Ontario, Dr. Bissonnette has been championing practice-changing projects in Ontario, including ongoing development of a province-wide depository for radiotherapy data, the production of disaster recovery and continuation of service plans. He is the co-chair of the Canadian Partnership for Quality Radiotherapy. He is board-certified by the Canadian College of Physicists in Medicine and is a Fellow of the Canadian Organization of Medical Physicists and of the American Association of Physicists in Medicine.
David DeVries
Medical Physicist
David DeVries
David DeVries
Medical Physicist
David DeVries is a medical physicist at the Verspeeten Family Cancer Centre in London, Ontario, which he joined after completing his residency at the Verspeeten in August. David previously completed his PhD in medical biophysics at Western University, focusing on radiomics and machine learning applications in stereotactic radiosurgery. David also has a MSc in physics from Queen's University and a joint honours in Physics and Computer Science from the University of Waterloo. David's current research interests include artificial intelligence applications in radiation therapy, ranging from immediate clinical applications to long-term reimagining of our health data landscape. David is a member of the national CADRA initiative and COMP's CWC-IDEA group.
Carol-Anne Davis
Director Clinical Oncology Standards
Carol-Anne Davis
Carol-Anne Davis
Director Clinical Oncology Standards
Carol-Anne Davis is a radiation therapist with over 35 years of experience spanning clinical, educational and management roles. Currently she is the Provincial Director of Clinical Oncology for the Nova Scotia Health Cancer Care Program. Nationally Carol-Anne has volunteered with several key organizations: Accreditation Canada, (Radiotherapy/Cancer Care Working Group Member), the Canadian Association of Radiation Oncology (CARO) Quality and Standards Committee and the Canadian Partnership for Quality Radiotherapy (CPQR) steering committee. In recognition of her many volunteer roles and research activities, Carol-Anne became a Fellow of the CAMRT in 2015. Carol-Anne’s clinical interests reside in Quality and Safety, RT for H&N cancer population, imaging, scopes of practice and stereotactic body radiotherapy. Research interests include positron-emission-tomography, peer–review and RT outcomes. Currently Carol-Anne is the NS co-lead for the CPAC funded project: Pan-Canadian Cancer Data Strategy Implementation - Stream 2: A Unified Approach to Standardizing Nomenclature in Radiation Oncology.
John Kildea
Professor
John Kildea
John Kildea
Professor
John Kildea is a CCPM-certified medical physicist, tenured associate professor in the Gerald Bronfman Department of Oncology at McGill University, Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC), and Fonds de recherche du Québec - santé dual-chair holder in Artificial Intelligence and Digital Health. John’s research focuses on building software for patient-centered health informatics and experimental methods to examine the biophysics underlying radiation-induced carcinogenesis. At the RI-MUHC, John directs the Opal Health Informatics Group. The group designed, developed, clinically implemented, and operated the Opal patient-in-the-loop data platform as the first, and to date only, patient portal in a Quebec hospital. John has been involved in a number of national initiatives at a leadership level. He has served as vice-chair of the Canadian Partnership for Quality Radiotherapy, chair of the Advisory Committee for the National System for Incident Reporting–Radiation Treatment (NSIR-RT), convenor of the Canadian Big Radiotherapy Data Initiative, and chair of two COMP Winter Schools. Internationally, John has represented the Canadian Organization of Medical Physics on committees at the IAEA, ESTRO, and HL7-CodeX.
Charles Mayo
Clinical Professor
Charles Mayo
Charles Mayo
Clinical Professor
Dr. Charles (Chuck) Mayo, PhD, is a distinguished medical physicist at the University of Michigan, who is internationally known for his groundbreaking work in several areas. He pioneered development of one of the first automated learning health system infrastructures for all treated patients and development of automated statistical and AI modeling tools. He has led in multiple international efforts in developing standardizations and APIs to reduce barriers to centralized and federated learning approaches. These include the AAPM TG-263 nomenclature, the Operational Ontology for Oncology (O3) and the CodeX HL7 FHIR radiation therapy data. Dr. Mayo has made significant contributions to the development of advanced treatment planning techniques that optimize patient outcomes. He has contributed in QUANTEC and PENTEC efforts in modeling. Developing software applications to improve driving clinical decision frameworks and impoving efficiency and safety is a consistent theme in his work in including release of open source applications. Dr. Mayo’s work in reirradiation and in organizing the Reirradiation Collaborative Group (ReCOG) has been instrumental in advancing therapeutic options for patients with recurrent cancers, offering new hope for challenging cases. He is an enthusiastic promoter of interdisciplinary, approaches to combining cutting-edge technology with patient-centered care.
Srinivas Raman
Radiation Oncologist
Srinivas Raman
Srinivas Raman
Radiation Oncologist
Dr. Srinivas Raman previously completed mechanical engineering degrees and medical school at University of British Columbia, followed by radiation oncology residency at University of Toronto, and subsequently a fellowship at BC Cancer Vancouver. He is currently a radiation oncologist at BC Cancer Vancouver and a clinical associate professor in the division of radiation oncology, University of British Columbia. He serves as the lung tumor group chair at BC Cancer. He is dual certified in radiation oncology and clinical informatics - his research interests broadly include applications of artificial intelligence and automation in clinical workflows. He is involved in several projects related to resource optimization, medical image analysis and clinical evaluation of physician and patient facing large language models.
Marc Venturi
Director
Marc Venturi
Marc Venturi
Director
Marc is the Director for Accreditation at the Canadian Association of Radiologists (CAR) and leads the Health Artificial Intelligence Validation Network (HAIVN). He advances quality in medical imaging through CAR’s national accreditation programs and helps shape the responsible, real-world use of AI via CAR’s Artificial Intelligence Standing Committee and the HAIVN initiative—the focus of today’s talk. Previously, Marc streamlined clinical research operations at The Ottawa Hospital and the Ottawa Hospital Research Institute and contributed to setting national standards for clinical research. He holds a Bachelor of Science in Biotechnology and a Master’s in Health Administration.