
Akshay Chaudhari is a Professor at Stanford University where he leads the Medical Intelligence for Medical Imaging group. Akshay is a leader in applying deep learning to medical imaging and works across modalities from MRI to X-rays to CT as well as other sensors. We have a far ranging conversation from leveraging GenAI to train medical classifiers to where the future of computer vision is going. Hope you enjoy!
Full Show Notes (transcript + links to all resources): https://blog.infinity.ai
Time stamps
02:30 Stable Diffusion to generate synthetic images of chest x-rays (and then training on those images!)
10:21 Using deep learning to speed up MRI scans
15:06 Why MRI is the most beautiful modality of all time (Note: Both Akshay and Lina may be a little biased…)
23:38 Ideas to make use of the massive datasets that sit in hospital data warehouses today (e.g. abdominal CTs from the ER)
25:20 Will radiologists exist in the future?
30:28 What Akshay is jealous about from the natural image CV community
36:67 Where the future of computer vision is going
49:19 Favorite papers from the past 6 months
57:29 Advice for newcomers into the AI space
61:48 Tips for staying up to date with the firehose of AI advancements
1:03:34 Reflect on quote from "The Beginning of Infinity"
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Akshay’s Accounts
Twitter: https://twitter.com/Dr_ASChaudhari
Lab Website: https://med.stanford.edu/mimi.html
Google Scholar: https://scholar.google.com/citations?user=08Y4NhMAAAAJ&hl=en
LinkedIn: https://www.linkedin.com/in/akshaychaudhari/
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Lina’s Accounts
Twitter: https://twitter.com/lina_colucci
LinkedIn: https://www.linkedin.com/in/lina-colucci/
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This Episode's Quote from "The Beginning of Infinity"
"It is inevitable that we face problems, but no particular problem is inevitable. We survive and thrive by solving each problem as it comes up. And since the human ability to transform nature is limited only by the laws of physics, none of the endless stream of problems will ever constitute an impassable barrier."
- David Deutsch, "The Beginning of Infinity"