OTO: The Use of Deep Learning Software in the Detection of Voice Disorders: A Systematic Review episode artwork

EPISODE · Aug 14, 2024 · 25 MIN

OTO: The Use of Deep Learning Software in the Detection of Voice Disorders: A Systematic Review

from OTO Journal

Editor in Chief Cecelia E. Schmalbach, MD, MSc, is joined by senior author Diana N. Kirke, MD, MPhil, and Associate Editor Lee M. Akst, MD, to discuss the potential for deep learning models to detect voice disorders as outlined in the paper "The Use of Deep Learning Software in the Detection of Voice Disorders: A Systematic Review" which published in the June 2024 special issue of Otolaryngology–Head and Neck Surgery. They compare the accuracy of different models and inputs and ponder the possibility of real-world implementation. Click here to read the full article.

Episode metadata supplied by the publisher feed · Published Aug 14, 2024

Embed this episode

NOW PLAYING

OTO: The Use of Deep Learning Software in the Detection of Voice Disorders: A Systematic Review

0:00 25:01

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of OTO Journal?

This episode is 25 minutes long.

When was this OTO Journal episode published?

This episode was published on August 14, 2024.

Can I download this OTO Journal episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!