Deep Learning in Otolaryngology
From JAMA Otolaryngology–Head & Neck Surgery Author Interviews by JAMA Network
June 11, 2026 · 20 min
About this episode
This episode features an interview discussing the impact of deep learning and AI on patient care in otolaryngology.
Interview with Amal Isaiah, MD, PhD, MBA, author of Deep Learning in Otolaryngology: A Narrative Review, and Matthew A. Shew, MD, MSCI, author of Shifting the AI Questions in Otolaryngology From "Can We Build a Model?" to "Will It Improve Patient Care?" Hosted by Paul C. Bryson, MD, MBA. Related Content: Deep Learning in Otolaryngology Shifting the AI Questions in Otolaryngology From "Can We Build a Model?" to "Will It Improve Patient Care?"
People in this episode
Hosts: Paul C. Bryson, MD, MBA, Paul C. Bryson
Guests: Amal Isaiah, MD, PhD, MBA, Matthew A. Shew, MD, MSCI, Amal Isaiah, Matthew A. Shew
Topics covered
- Deep Learning
- Otolaryngology
- Artificial Intelligence
- Patient Care
- Medical Research
Keywords
- Deep Learning
- Otolaryngology
- AI
- Patient Care
- Medical Technology
Mentioned in this episode
Books & works: Deep Learning in Otolaryngology: A Narrative Review, Shifting the AI Questions in Otolaryngology From "Can We Build a Model?" to "Will It Improve Patient Care?"
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