AIMC Topic: Auscultation

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Hemopneumothorax detection through the process of artificial evolution - a feasibility study.

Military Medical Research Apr 25, 2021
BACKGROUND: Tension pneumothorax is one of the leading causes of preventable death on the battlefield. Current prehospital diagnosis relies on a subjective clinical impression complemented by a manual thoracic and respiratory examination. These techn...
Disease Models, Animal Feasibility Studies Stethoscopes Auscultation Hemopneumothorax Artificial Intelligence Animals Swine
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Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case-control and prospective cohort study.

BMC pulmonary medicine Mar 24, 2021
BACKGROUND: Lung auscultation is fundamental to the clinical diagnosis of respiratory disease. However, auscultation is a subjective practice and interpretations vary widely between users. The digitization of auscultation acquisition and interpretati...
Adolescent Triage COVID-19 Testing Auscultation Clinical Protocols Middle Aged Risk Assessment Case-Control Studies Deep Learning Clinical Decision Rules Algorithms Prospective Studies Prognosis Female Young Adult Adult Male Aged Aged, 80 and over Humans COVID-19
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Artificial intelligence accuracy in detecting pathological breath sounds in children using digital stethoscopes.

Respiratory research Sep 29, 2020
BACKGROUND: Manual auscultation to detect abnormal breath sounds has poor inter-observer reliability. Digital stethoscopes with artificial intelligence (AI) could improve reliable detection of these sounds. We aimed to independently test the abilitie...
Humans Artificial Intelligence Female Reproducibility of Results Auscultation Respiratory Sounds Male Child, Preschool Child Stethoscopes
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Evaluation of Hemodialysis Arteriovenous Bruit by Deep Learning.

Sensors (Basel, Switzerland) Aug 27, 2020
Physical findings of auscultation cannot be quantified at the arteriovenous fistula examination site during daily dialysis treatment. Consequently, minute changes over time cannot be recorded based only on subjective observations. In this study, we s...
Aged Aged, 80 and over Male Middle Aged Humans Neural Networks, Computer Female Arteriovenous Fistula Deep Learning Renal Dialysis ROC Curve Auscultation
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Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings.

Scientific reports May 26, 2020
High resolution cervical auscultation is a very promising noninvasive method for dysphagia screening and aspiration detection, as it does not involve the use of harmful ionizing radiation approaches. Automatic extraction of swallowing events in cervi...
Auscultation Humans Female Aged Male Signal Processing, Computer-Assisted Deglutition Disorders Deglutition Middle Aged Deep Learning
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Practical implementation of artificial intelligence algorithms in pulmonary auscultation examination.

European journal of pediatrics Mar 29, 2019
Lung auscultation is an important part of a physical examination. However, its biggest drawback is its subjectivity. The results depend on the experience and ability of the doctor to perceive and distinguish pathologies in sounds heard via a stethosc...
Child Stethoscopes Auscultation Respiratory Sounds Algorithms Infant Humans Adolescent Neural Networks, Computer Child, Preschool Machine Learning
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Lung sounds classification using convolutional neural networks.

Artificial intelligence in medicine May 1, 2018
Lung sounds convey relevant information related to pulmonary disorders, and to evaluate patients with pulmonary conditions, the physician or the doctor uses the traditional auscultation technique. However, this technique suffers from limitations. For...
Humans Prognosis Lung Diseases Female Child Middle Aged Auscultation Acoustics Aged Support Vector Machine Infant, Newborn Lung Respiratory Sounds Sound Spectrography Predictive Value of Tests Adult Reproducibility of Results Deep Learning Pattern Recognition, Automated Male Signal Processing, Computer-Assisted Adolescent
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A novel feature extraction technique for pulmonary sound analysis based on EMD.

Computer methods and programs in biomedicine Mar 22, 2018
BACKGROUND AND OBJECTIVE: The stethoscope based auscultation technique is a primary diagnostic tool for chest sound analysis. However, the performance of this method is limited due to its dependency on physicians experience, knowledge and also clarit...
Stethoscopes Humans Auscultation Neural Networks, Computer Models, Statistical Respiratory Sounds Lung Signal Processing, Computer-Assisted India Pattern Recognition, Automated Algorithms Support Vector Machine Wavelet Analysis Sensitivity and Specificity
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Multichannel lung sound analysis for asthma detection.

Computer methods and programs in biomedicine Mar 9, 2018
BACKGROUND AND OBJECTIVE: Lung sound signals convey valuable information of the lung status. Auscultation is an effective technique to appreciate the condition of the respiratory system using lung sound signals. The prior works on asthma detection fr...
Respiratory Sounds Signal Processing, Computer-Assisted Vital Capacity Support Vector Machine Normal Distribution Humans Adult Models, Statistical Auscultation Asthma Predictive Value of Tests Forced Expiratory Volume Neural Networks, Computer Male Middle Aged Algorithms Lung Female Young Adult
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Deep Neural Networks for Identifying Cough Sounds.

IEEE transactions on biomedical circuits and systems Sep 16, 2016
In this paper, we consider two different approaches of using deep neural networks for cough detection. The cough detection task is cast as a visual recognition problem and as a sequence-to-sequence labeling problem. A convolutional neural network and...
Pattern Recognition, Automated Auscultation Sensitivity and Specificity Diagnosis, Computer-Assisted Humans Cough Neural Networks, Computer Sound Spectrography Algorithms Reproducibility of Results
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