Manchester Cancer Research Centre 20th Anniversary Director's Lecture
“Realizing the Value Proposition of AI in Healthcare Requires Manual Labor” - Professor David Jaffray, the MD Anderson Cancer Center, USA
Join the Manchester Cancer Research Centre for a pivotal discussion on the reality of implementing Artificial Intelligence in clinical settings.
As part of our 20th Anniversary Celebration, we are privileged to host Professor David Jaffray, Chief Technology and Digital Officer at the MD Anderson Cancer Center, for this special lecture titled:
“Realizing the Value Proposition of AI in Healthcare Requires Manual Labor”
Professor Jaffray will explore how manual labour plays a crucial role in unlocking the full potential of AI technologies. He will delve into his experience of leading digital transformation and technology development, explaining why human effort and detailed manual processes are not a bottleneck, but a critical prerequisite for AI to deliver meaningful, safe, and high-quality cancer care.
Don’t miss this essential exploration of the challenges and requirements for successful AI integration.
Date
21/11/2025 – 21/11/2025
Time
2:00 pm – 3:00 pm
Theme
Artificial Intelligence
Contact
About Professor David Jaffray
Dr. David A. Jaffray is a senior vice president and chief technology and digital officer (CTDO) and a Full Professor in Radiation Physics and Imaging Physics at The University of Texas MD Anderson Cancer Center. Before joining MD Anderson, Dr. Jaffray served as executive vice president for Technology and Innovation at the University Health Network (UHN) in Toronto. He designed and led UHN’s digital transformation.
In the 17 years there, he also served as Head of Medical Physics, vice chair of Research for the University of Toronto’s Department of Radiation Oncology, founding director of the STTARR Innovation Centre, and founding director of the Techna Institute.
He was a Full Professor in the Departments of Radiation Oncology, Medical Biophysics, and IBBME at the University of Toronto and was active in strategic planning, teaching, and graduate student supervision.
Date
21/11/2025 – 21/11/2025
Time
2:00 pm – 3:00 pm
Theme
Artificial Intelligence
Contact