AI in Med Lecture: Dr. Hamid Tizhoosh


Virtual: email events@sbme.ubc.ca at least one day prior to the start of the event for Zoom details. SBME cannot guarantee that late requests for Zoom details can be accommodated.


SBME x BMI&AI x the BC Translational Digital Pathology Initiative are proud to co-present a special lecture:

“AI, Digital Pathology, and Post-Pandemic Healthcare “

 

ABSTRACT

Applications of AI in pathology along with the emergence of digital pathology will be reviewed. Particular emphasis will be on multi-modal search including whole slide images. Future challenges and The impact on post-pandemic healthcare will be discussed.

 

Speaker

Dr. Hamid R. Tizhoosh

Professor, Faculty of Engineering  |  University of Waterloo
Professor  |  Mayo Clinic

Dr. Hamid R. Tizhoosh is a Professor in the Faculty of Engineering at the University of Waterloo since 2001 where he leads the KIMIA Lab (Laboratory for Knowledge Inference in Medical Image Analysis). Before he joined the University of Waterloo, he was a research associate at the Knowledge and Intelligence Systems Laboratory at the University of Toronto where he worked on AI methods such as reinforcement learning. His research activities encompass artificial intelligence, computer vision, and medical imaging. He has developed algorithms for medical image filtering, segmentation, and search. As well, he has introduced the concept of “Opposition-based Learning”.

In 2007, he started Segasist Technologies, a start-up that developed image segmentation software for radiation oncology. The company raised more than $2M under his leadership, both as CEO and CTO. He also planned and successfully managed an FDA 510k submission for computer-aided segmentation for prostate cancer with the help of Sunnybrook Hospital and the London Regional Cancer Centre. Dr. Tizhoosh is a faculty affiliate to the Vector Institute, Toronto, where he leads a pathfinder project on using AI in radiology.

Host:

 

 

 

Dr. Ali Bashashati

Assistant Professor | SBME
Director of AI Research | BC Ovarian Cancer Program (OVCARE)