Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Tuberculous pleural effusion (TPE) is a challenging extrapulmonary manifestation of tube...
Lung cancer is the leading cause of cancer-related deaths worldwide, primarily due to late-stage det...
The variability in image modalities presents significant challenges in medical image classification,...
Lung cancer is the leading cause of global cancer-related deaths, which emphasizes the critical impo...
This study aims to apply a multi-modal approach of the deep learning method for survival prediction ...
UNLABELLED: The escalating therapeutic use of methadone has coincided with an increase in accidental...
This paper presents a supervised contrastive learning (SCL) framework for respiratory sound classifi...
Respiratory toxicity of chemicals is a common clinical and environmental health concern. Currently, ...
RATIONALE AND OBJECTIVES: To develop and validate a machine learning model based on chest CT and cli...
BACKGROUND: Lung cancer is a primary global health concern, responsible for a considerable portion o...
BACKGROUND: Tuberculosis (TB) is a major global health concern, causing 1.5 million deaths in 2020. ...
Semi-supervised learning effectively mitigates the lack of labeled data by introducing extensive unl...
Obstructive sleep apnea (OSA) in children is a prevalent and serious respiratory condition linked to...
Acute respiratory distress syndrome (ARDS) is a severe organ dysfunction associated with significant...
In the healthcare field, lung disease detection techniques based on deep learning (DL) are widely us...
Infected region segmentation is crucial for pulmonary infection diagnosis, severity assessment, and ...
Sleep apnea, a fatal sleep disorder causing repetitive respiratory cessation, requires immediate int...
Tuberculosis is a high-mortality infectious disease. Manual sputum smear microscopy is a common and ...
Cancer is a global health concern because of a significant mortality rate and a wide range of affect...
BACKGROUND: Identification of distinct clinical phenotypes of diseases can guide personalized treatm...
BACKGROUND: Precise detection and characterization of pulmonary nodules on computed tomography (CT) ...