Associate Professor
UCSD
San Jose, United States
Dr. Ahmed El Kaffas trained in engineering, physics and the medical imaging sciences, with significant translational and direct clinical research experience at the Sunnybrook Research Institute (University of Toronto), and at Stanford University. The multidisciplinary research group he has founded at Stanford Radiology (and now UCSD Radiology) includes physicists, biologists, engineers and clinical residents/fellows, and seeks to translate novel ultrasound theragnostic technologies to ultimately reshape the use of ultrasound within and outside of Radiology, and with emphasis on the full spectrum of liver disease (NAFLD to HCC), as well as early cancer detection in prostate and pancreatic cancer. To do so, the group focuses on developing new computer and AI algorithms, molecular probes and contrast agents, acquisition standardization (through augmented reality) and novel theragnostic strategies. Dr. El Kaffas’ lab is funded by several NIH grants and receives industry support. Dr. El Kaffas is also co-founder of a medical imaging start up (Oncoustics inc) that aims to translate point-of-care ultrasound AI software for tissue characterization.
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Monday, April 8, 2024
11:14am – 11:24am
Ultrasound AI—How to get started
Monday, April 8, 2024
2:30pm – 4:00pm
Monday, April 8, 2024
3:35pm – 4:00pm
The Great 8 Scientific Session
Monday, April 8, 2024
4:30pm – 6:00pm
Ultrasound Beyond Radiology: New tools for non-traditional uses
Tuesday, April 9, 2024
2:00pm – 3:30pm