[A cloud-based system for automatic diagnostics of dysphonia via acoustic parameters using artificial intelligence models].

Authors

D I Kurbanova, S G Romanenko, O G Pavlikhin, E V Lesogorova, O V Eliseev, E N Krasilnikova, V A Zemlyanov, E A Teplykh, Kh Z Khaybulaev

Published in

Vestnik otorinolaringologii. Volume 91. Issue 4. Pages 78-80.

Abstract

The diagnosis of voice disorders remains a persistent challenge in otorhinolaryngology, as the analysis of complex data demands specialized clinical expertise. A promising approach involves the implementation of artificial intelligence (AI) and machine learning methods, which can automate the analysis of acoustic voice parameters, objectively differentiating between norm and pathology. The creation of user-friendly, secure and accessible cloud-based platforms utilizing environments like Google Drive and Colaboratory reduces the need for expensive infrastructure. This is a critical prerequisite for the successful integration of AI into clinical practice.

PMID:
42693990
Bibliographic data and abstract were imported from PubMed on 04 Sep 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.