Today we’re joined by Judy Gichoya an interventional radiology fellow at the Dotter Institute at Oregon Health and Science University.
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In our conversation, Judy details her research in “Phronesis of AI in Radiology: Superhuman meets Natural Stupidy,” a review of the claims of “superhuman” AI performance in radiology. We explore potential roles in which AI can have success in radiology, along with some of the different types of biases that can manifest themselves across multiple use cases. Finally, we look at the CheXNet paper which details how human and AI performance can complement and improve each other’s performance for detecting pneumonia in chest X-rays.
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Mentioned in the Interview
- Phronesis of AI in Radiology: Superhuman meets Natural Stupidy
- CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
- TWIML Events Page
- TWIML Meetup
- TWIML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0