JAMA Otolaryngology–Head & Neck Surgery Author Interviews

About JAMA Otolaryngology–Head & Neck Surgery Author Interviews

Interviews with authors of articles from JAMA Otolaryngology–Head & Neck Surgery. JAMA Otolaryngology–Head & Neck Surgery is a peer-reviewed medical journal that provides timely information for physicians and scientists concerned with diseases of the head and neck. Given the diversity of structure and function based in this anatomic region, JAMA Otolaryngology–Head & Neck Surgery publishes clinical, translational, and population health research from an array of disciplines. We place a high priority on strong study designs that accurately identify etiologies, evaluate diagnostic strategies, and distinguish among treatment options and outcomes.

Publisher

JAMA Network

Category

health & fitness · science

Language

en

Explicit

No

First episode

19 Dec 2011

Latest episode

17 Sept 2026

Latest episodes

116 episodes in the feed.

1. 

   17 Sept 2026

   Newborn Hearing Screening in the Otoferlin Gene Therapy Era

   Interview with Dana S. Guggenheim, BA, and Justin S. Golub, MD, MS, authors of Newborn Hearing Screening in the Otoferlin Gene Therapy Era. Hosted by Paul C. Bryson, MD, MBA. Related Content: Newborn Hearing Screening in the Otoferlin Gene Therapy Era

2. 

   9 Jul 2026

   Uncoded Tracheostomy Care—Impacting Care, Quality, and Research?

   Interview with Philip A. Weissbrod, MD, Joshua R. Bedwell, MD, MS, and David O. Francis, MD, MS, authors of Uncoded Tracheostomy Care—Impacting Care, Quality, and Research? Hosted by Paul C. Bryson, MD, MBA. Related Content: Uncoded Tracheostomy Care—Impacting Care, Quality, and Research?

3. 

   11 Jun 2026

   Deep Learning 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?"

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

3.5 / 5

6 ratings

Spotify

5.0 / 5

1 ratings

Podcast Authority Score: 27 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

21

Social presence

0

YouTube

0

Engagement

85

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