An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data.

ABSTRACT: Auscultation is a method that involves listening to sounds from the patient's body, mainly using a stethoscope, to diagnose diseases. The stethoscope allows for non-invasive, real-time diagnosis, and it is ideal for diagnosing respiratory diseases and first aid. However, accurate interpretation of respiratory sounds using a stethoscope is a subjective process that requires considerable expertise from clinicians. To overcome the shortcomings of existing stethoscopes, research is actively being conducted to develop an artificial intelligence deep learning model that can interpret breathing sounds recorded through electronic stethoscopes. Most recent studies in this area have focused on CNN-based respiratory sound classification models. However, such CNN models are limited in their ability to

SUBMITTER: Kim BJ 

PROVIDER: S-EPMC11829976 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature