Check out the full podcast here: https://youtu.be/t8YCzcWSUrg
Akshay is an Assistant Professor at @Stanford University in the Radiology department. He has a strong background in bioengineering with a bachelor's from @UC San Diego and Ph.D. from Stanford followed by a Postdoctoral experience in radiology at Stanford. We discuss more how machine learning is leveraged for faster medical image acquisition and post-processing methods.
About the Host:
Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
Jay Shah: https://www.linkedin.com/in/shahjay22/
Also check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.com
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***