Speaker
April Khademi
(TMU Electrical, Computer, and Biomedical Engineering)
Description
Medical images play a critical role in patient management and are used to decide treatment; they also comprise nearly 80% of all hospital data. We have an opportunity to leverage AI in medical imaging, to change the way medicine is practiced. AI tools for medical imaging can offer more accurate diagnosis, improve inter-rater agreement across specialists, and reduce turn-around-time -- all which improve quality of care. This talk will discuss some of the design, development and deployment considerations, as well as progress of AI in medical imaging, for radiology and pathology workflow augmentation.
Primary author
April Khademi
(TMU Electrical, Computer, and Biomedical Engineering)