In this episode I’m joined by Prashant Warier, CEO and Co-Founder of Qure.ai, a company building AI-powered software for radiology.
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In our conversation, Prashant and I discuss the company’s work building products for interpreting head CT scans and chest x-rays. Prashant shares with us some great insights into some of the things he and his team have learned in bringing a commercial product to market in this space, including what the gap between academic research papers and commercially viable software, the challenge of data acquisition and how to best capitalize on what data you have access, and much more. We also touch on the application of transfer learning in this space, and the algorithms and annotation pipelines they’ve developed to support 3D scans.
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About Prashant
Mentioned in the Interview
- Qure.ai
- Qure.ai qXR (Chest Radiology)
- Qure.ai qER (Head CT Scans)
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“More On That Later” by Lee Rosevere licensed under CC By 4.0
Hunter Danque
Really enjoyed the episode. I am curious if any of the techniques, algorithms, or leanings Prashant discussed would transfer to 3D seismic data?