AIMC Topic: Respiratory Sounds

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A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze development.

Environmental research Feb 19, 2024
BACKGROUND: Most previous research on the environmental epidemiology of childhood atopic eczema, rhinitis and wheeze is limited in the scope of risk factors studied. Our study adopted a machine learning approach to explore the role of the exposome st...
Cohort Studies Child, Preschool Child Adult Humans Male Infant Machine Learning Maternal Exposure Pregnancy Dermatitis, Atopic Female Respiratory Sounds Exposome Rhinitis Singapore Prenatal Exposure Delayed Effects
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Respiratory Diseases Diagnosis Using Audio Analysis and Artificial Intelligence: A Systematic Review.

Sensors (Basel, Switzerland) Feb 10, 2024
Respiratory diseases represent a significant global burden, necessitating efficient diagnostic methods for timely intervention. Digital biomarkers based on audio, acoustics, and sound from the upper and lower respiratory system, as well as the voice,...
Humans Artificial Intelligence Voice Respiratory Sounds SARS-CoV-2 Cough Respiratory Tract Diseases Machine Learning COVID-19 Algorithms
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Pediatric Pulmonary Function Assessment Using Artificial Intelligence with Cough Sounds.

Indian journal of pediatrics Jan 20, 2024
Cough Respiratory Function Tests Respiratory Sounds Artificial Intelligence Child, Preschool Child Humans
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Early prediction of pediatric asthma in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort using machine learning.

Pediatric research Jan 11, 2024
BACKGROUND: Early identification of children at risk of asthma can have significant clinical implications for effective intervention and treatment. This study aims to disentangle the relative timing and importance of early markers of asthma.
Male Infant Child, Preschool Infant, Newborn Risk Factors Asthma Respiratory Sounds Birth Cohort Canada Longitudinal Studies Respiratory Tract Infections Humans Machine Learning Female
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Real-time counting of wheezing events from lung sounds using deep learning algorithms: Implications for disease prediction and early intervention.

PloS one Nov 20, 2023
This pioneering study aims to revolutionize self-symptom management and telemedicine-based remote monitoring through the development of a real-time wheeze counting algorithm. Leveraging a novel approach that includes the detailed labeling of one brea...
Respiratory Sounds Deep Learning Child Lung Diseases Humans Neural Networks, Computer Algorithms
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Deep learning-based lung sound analysis for intelligent stethoscope.

Military Medical Research Sep 26, 2023
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and they cannot record respiratory sounds for offline/retrospe...
Stethoscopes Respiratory Sounds Humans Reproducibility of Results Deep Learning Artificial Intelligence Retrospective Studies
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Automatic stridor detection using small training set via patch-wise few-shot learning for diagnosis of multiple system atrophy.

Scientific reports Jul 5, 2023
Stridor is a rare but important non-motor symptom that can support the diagnosis and prediction of worse prognosis in multiple system atrophy. Recording sounds generated during sleep by video-polysomnography is recommended for detecting stridor, but ...
Respiratory Sounds Multiple System Atrophy Artificial Intelligence Prognosis Polysomnography Humans
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StethAid: A Digital Auscultation Platform for Pediatrics.

Sensors (Basel, Switzerland) Jun 20, 2023
(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial intelligence (AI)-powered digital support is emerging as an aid to assist with the interpretation of auscultated sounds. A few AI-augmented digital s...
Humans Respiratory Sounds Artificial Intelligence Heart Murmurs Algorithms Child Stethoscopes Auscultation
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Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study.

BMC pulmonary medicine Jun 2, 2023
BACKGROUND: Interstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognos...
Ultrasonography Observational Studies as Topic Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Auscultation Respiratory Sounds Lung Humans Case-Control Studies Deep Learning Artificial Intelligence Adult Pulmonary Disease, Chronic Obstructive Quality of Life Clinical Protocols Idiopathic Interstitial Pneumonias
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Classification of pulmonary sounds through deep learning for the diagnosis of interstitial lung diseases secondary to connective tissue diseases.

Computers in biology and medicine Apr 20, 2023
Early diagnosis of interstitial lung diseases secondary to connective tissue diseases is critical for the treatment and survival of patients. The symptoms, like dry cough and dyspnea, appear late in the clinical history and are not specific, moreover...
Lung Diseases, Interstitial Humans Respiratory Sounds Tomography, X-Ray Computed Connective Tissue Diseases Aged Lung Deep Learning
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