Machine learning-driven strategies for enhanced pediatric wheezing detection

Machine learning-driven strategies for enhanced pediatric wheezing detection

BackgroundAuscultation is a critical diagnostic feature of lung diseases, but it is subjective and challenging to measure accurately. To overcome these limitations, artificial intelligence models have been developed.MethodsIn this prospective study, we aimed to compare respiratory sound feature extr...

Full description

Saved in:
Bibliographic Details
Main Authors: Hye Jeong Moon, Hyunmin Ji, Baek Seung Kim, Beom Joon Kim, Kyunghoon Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Pediatrics
Subjects:
wheezing detection
machine learning
pediatric
AI strategies
wheezing
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2025.1428862/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items