T-CAIREM AI in Medicine Conference
Ideas to Impact
October 12 - 13, 2023
InterContinental Toronto Centre
We’re bringing together professionals from across the country to share research, advance AI and digital health solutions, and accelerate the deployment of AI in clinical practice to streamline practice and improve patient care.
Our conference provides a unique forum for knowledge-sharing and collaboration among clinicians, researchers, clinician-investigators, computer and data scientists, statisticians, and engineers interested in the intersection of AI, technology, and health. Through learning and networking, we’re building a community of professionals interested in advancing AI in health and medicine.
Join us and learn about the latest AI in medicine innovations taking place across Canada and around the world.
Goal & Target Audience
Accelerating the integration of AI solutions into clinical practice to advance the healthcare system and improve patient outcomes.
The conference is intended for an interdisciplinary audience of professionals involved in AI research in health and medicine, technology implementation, or the future of AI in medicine, more broadly. We invite participation from:
- Computer and Data Scientists
- Statisticians and Engineers
- Other Health and Industry Professionals interested in AI, health, and medicine
Principal Research Scientist, Massachusetts Institute of Technology
Leo Anthony Celi MD, MS, MPH is Clinical Research Director and Senior Research Scientist at the Laboratory for Computational Physiology at MIT and a practicing intensivist at Beth Israel Deaconess Medical Center in Boston. Dr. Celi’s work focuses on scaling clinical research to be more inclusive through open access data and software, particularly for limited resource settings; identifying bias in the data to prevent them from being encrypted in models and algorithms; and redesigning research using the principles of team science and the hive learning strategy.
Dr. Celi completed his medical degree at the University of the Philippines, followed by postgraduate training in internal medicine, critical care medicine, infectious disease, and biomedical informatics at Cleveland Clinic, Harvard, Stanford, and MIT. He has published numerous papers in machine learning, not only in critical care medicine, but across different specialties including ophthalmology, radiology, surgery, nursing, and bioethics.
Dean of Queen's University Faculty of Law
Colleen M. Flood FRSC, FCAHS is Dean, Faculty of Law, Queen’s University. Her research interests focus on the role of law in shaping health and health care systems and the appropriate roles for the public and private sectors. She is the principal investigator of a CIHR grant on the Governance of Health-Related Artificial Intelligence. Professor Flood is the author/editor of 12 books (two of which are in multiple editions), editor of Halsbury's Laws of Canada - Public Health (2019 re-issue), co-editor of Vulnerable: The Law, Policy & Ethics of COVID-19 (uOttawa Press 2020), and co-editor of Administrative Law in Context (Emond 2021)
T-CAIREM Infrastructure Co-lead Scientist, Hospital for Sick Children
Alistair Johnson DPhil is a Scientist at the Hospital for Sick Children and was most recently the T-CAIREM Infrastructure Co-Lead. He received his Bachelor of Biomedical and Electrical Engineering at McMaster University and successfully read for a DPhil at the University of Oxford. Dr. Johnson has worked in machine learning and healthcare for over a decade. Dr. Johnson has strived to overcome barriers to data access, and his work on MIMIC-III demonstrates the immense potential of publicly available data. His research focuses on enabling healthcare research, including the development of new database structures tailored for healthcare, algorithms for de-identification of rich clinical data, and tools for assessing data quality.
Nightingale Open Science, Center for Applied AI, University of Chicago Booth School of Business
Senthil Nachimuthu MD, PhD is the Chief Medical Officer and lead of Nightingale Open Science at the Center for Applied AI and the University of Chicago Booth School of Business. Previously, he worked in large corporate and start-up companies in product management and research leadership roles in medical informatics, analytics, interoperability, and healthcare standards. He has led interoperability efforts at several hospitals, contributed to HL7 and LOINC standards, served as an elected U.S. representative to SNOMED, and as an advisor to a U.S. Congressional committee. Dr. Nachimuthu also serves as an Adjunct Assistant Professor of Biomedical Informatics at the University of Utah School of Medicine, where he teaches and conducts research on clinical decision support and interoperability. He is also a researcher in infectious disease epidemiology at the Salt Lake City VA Medical Center.
Royal College of Physicians and Surgeons of Canada – Section 1
This event is an Accredited Group Learning Activity (Section 1) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada, approved by Continuing Professional Development, Temerty Faculty of Medicine, University of Toronto. You may claim a maximum of 10.5 hours (credits are automatically calculated).
American Medical Association – AMA PRA Category 1 Credit™ Designation
Through an agreement between the Royal College of Physicians and Surgeons of Canada and the American Medical Association, physicians may convert Royal College MOC credits to AMA PRA Category 1 Credits™. Information on the process to convert Royal College MOC credit to AMA credit can be found at: https://www.ama-assn.org/education/ama-pra-credit-system/agreement-royal-college-physicians-surgeons-canada
European Union for Medical Specialists (UEMS)
Live educational activities recognized by the Royal College of Physicians and Surgeons of Canada as Accredited Group Learning Activities (Section 1) are deemed by the European Union of Medical Specialists (UEMS) eligible for ECMEC®.
Accreditation Letters: Attendess must attend the live delivery of the education program, in-person and/or synchronously online, in order to receive their letter of accreditation or claim hours.