Artificial Intelligence in Medicine | Pediatrics | Pulmonology Automated Interpretation of Lung Sounds by Deep Learning in Children With Asthma: Scoping Review and Strengths, Weaknesses, Opportunities, and Threats Analysis. August 23, 2024
Artificial Intelligence | Respiratory Medicine | Signal Processing Auscultation-Based Pulmonary Disease Detection through Parallel Transformation and Deep Learning. June 27, 2024
Cardiology | Neonatology | Respiratory Medicine NeoSSNet: Real-Time Neonatal Chest Sound Separation Using Deep Learning. June 20, 2024
Pulmonology Machine Learning for Automated Classification of Abnormal Lung Sounds Obtained from Public Databases: A Systematic Review. October 28, 2023
Cardiology | Pulmonology A multi-channel UNet framework based on SNMF-DCNN for robust heart-lung-sound separation. July 27, 2023
Artificial Intelligence | Pulmonology | Respiratory Medicine Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging. July 8, 2023
Computer Science | Pulmonology Implications of clinical variability on computer-aided lung auscultation classification. September 10, 2022
Cardiology | Medical Imaging | Respiratory Medicine Comprehensive Analysis System for Automated Respiratory Cycle Segmentation and Crackle Peak Detection. October 27, 2021
Internal Medicine | Medical Education | Respiratory Medicine Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning. August 26, 2021
Cardiology | Pulmonology A dataset of lung sounds recorded from the chest wall using an electronic stethoscope. March 18, 2021