The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Phronesis of AI in Radiology with Judy Gichoya - TWIML Talk #275
Jun 18, 2019
Judy Gichoya, an interventional radiology fellow and co-organizer of Black in AI, shares her insights on the interplay of AI and radiology. She examines the claims of superhuman AI, emphasizing its true potential in enhancing radiological diagnostics. Judy humorously debunks the myth of AI replacing radiologists, calling for collaboration rather than competition. The conversation dives into the biases that can skew AI performance and the need for practical education to effectively integrate AI within the field.
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Judy's Start in Digital Health
- Judy Gichoya's interest in digital health started while managing HIV patients in Kenya using paper and spreadsheets.
- This led her to work on an open-source medical record system and pursue informatics in the US.
Misunderstanding Radiology
- Frequent claims of AI surpassing radiologists often come from individuals lacking a deep understanding of radiology.
- This disconnect hinders productive conversations and collaboration.
Altman's Comment and Its Impact
- Sam Altman stated he prefers computer radiologists over humans.
- This highlights the emotional impact of AI's perceived threat to radiologists' expertise.