Deep Learning in Otolaryngology

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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