[HTML][HTML] Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …
alterations in the respiratory system. Reliable and accurate detection of cough events by …
[HTML][HTML] Artificial intelligence and machine learning in chronic airway diseases: focus on asthma and chronic obstructive pulmonary disease
Y Feng, Y Wang, C Zeng, H Mao - International journal of medical …, 2021 - ncbi.nlm.nih.gov
Chronic airway diseases are characterized by airway inflammation, obstruction, and
remodeling and show high prevalence, especially in developing countries. Among them …
remodeling and show high prevalence, especially in developing countries. Among them …
Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
Deep learning-based lung sound analysis for intelligent stethoscope
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
Abnormal respiratory sounds classification using deep CNN through artificial noise addition
Respiratory sound (RS) attributes and their analyses structure a fundamental piece of
pneumonic pathology, and it gives symptomatic data regarding a patient's lung. A couple of …
pneumonic pathology, and it gives symptomatic data regarding a patient's lung. A couple of …
Research progress of respiratory disease and idiopathic pulmonary fibrosis based on artificial intelligence
G Zhang, L Luo, L Zhang, Z Liu - Diagnostics, 2023 - mdpi.com
Machine Learning (ML) is an algorithm based on big data, which learns patterns from the
previously observed data through classifying, predicting, and optimizing to accomplish …
previously observed data through classifying, predicting, and optimizing to accomplish …
Automated detection of airflow obstructive diseases: a systematic review of the last decade (2013-2022)
Abstract Background and Objective Obstructive airway diseases, including asthma and
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …
Acoustic-based deep learning architectures for lung disease diagnosis: A comprehensive overview
AH Sfayyih, AH Sabry, SM Jameel, N Sulaiman… - Diagnostics, 2023 - mdpi.com
Lung auscultation has long been used as a valuable medical tool to assess respiratory
health and has gotten a lot of attention in recent years, notably following the coronavirus …
health and has gotten a lot of attention in recent years, notably following the coronavirus …
Detection of respiratory sounds based on wavelet coefficients and machine learning
F Meng, Y Shi, N Wang, M Cai, Z Luo - IEEE Access, 2020 - ieeexplore.ieee.org
Respiratory sounds reveal important information of the lungs of patients. However, the
analysis of lung sounds depends significantly on the medical skills and diagnostic …
analysis of lung sounds depends significantly on the medical skills and diagnostic …
Respiration-based COPD detection using UWB radar incorporation with machine learning
COPD is a progressive disease that may lead to death if not diagnosed and treated at an
early stage. The examination of vital signs such as respiration rate is a promising approach …
early stage. The examination of vital signs such as respiration rate is a promising approach …