AIMC Topic: Stethoscopes
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Deep Learning Algorithm for Automated Cardiac Murmur Detection via a Digital Stethoscope Platform.
Journal of the American Heart Association
Apr 26, 2021
Background Clinicians vary markedly in their ability to detect murmurs during cardiac auscultation and identify the underlying pathological features. Deep learning approaches have shown promise in medicine by transforming collected data into clinical...
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...
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...
A novel deep learning based automatic auscultatory method to measure blood pressure.
International journal of medical informatics
Apr 29, 2019
BACKGROUND: It is clinically important to develop innovative techniques that can accurately measure blood pressures (BP) automatically.
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...
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...
Triple cardiovascular disease detection with an artificial intelligence-enabled stethoscope (TRICORDER): design and rationale for a decentralised, real-world cluster-randomised controlled trial and implementation study.
BMJ open
May 21, 2025
INTRODUCTION: Early detection of cardiovascular disease in primary care is a public health priority, for which the clinical and cost-effectiveness of an artificial intelligence-enabled stethoscope that detects left ventricular systolic dysfunction, a...
On stethoscopes, patient records, artificial intelligence, and zettabytes: A glimpse into the future of digital medicine in Mexico.
Archivos de cardiologia de Mexico
Jan 1, 2020
Science and technology are modifying medicine at a dizzying pace. Although access in our country to the benefits of innovations in the area of devices, data storage and artificial intelligence are still very restricted, the advance of digital medicin...
On stethoscopes, patient records, artificial intelligence and zettabytes: a glimpse into the future of digital medicine in Mexico.
Archivos de cardiologia de Mexico
Jan 1, 2020
Science and technology are modifying medicine at a dizzying pace. Although access in our country to the benefits of innovations in the area of devices, data storage and artificial intelligence is still very restricted, the advance of digital medicine...
Variation of the Korotkoff Stethoscope Sounds During Blood Pressure Measurement: Analysis Using a Convolutional Neural Network.
IEEE journal of biomedical and health informatics
Nov 1, 2017
Korotkoff sounds are known to change their characteristics during blood pressure (BP) measurement, resulting in some uncertainties for systolic and diastolic pressure (SBP and DBP) determinations. The aim of this study was to assess the variation of ...
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