Latest AI and machine learning research in pulmonology for healthcare professionals.
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. ...
Most classification efforts for primary subtypes of lung adenocarcinoma (LUAD) have not yet been int...
Acute respiratory distress syndrome (ARDS) is a severe organ dysfunction associated with significant...
Obstructive sleep apnea (OSA) in children is a prevalent and serious respiratory condition linked to...
Semi-supervised learning effectively mitigates the lack of labeled data by introducing extensive unl...
The healthcare industry is generating a massive volume of data, promising a potential goldmine of in...
In the healthcare field, lung disease detection techniques based on deep learning (DL) are widely us...
Tuberculosis is a high-mortality infectious disease. Manual sputum smear microscopy is a common and ...
Sleep apnea, a fatal sleep disorder causing repetitive respiratory cessation, requires immediate int...
Infected region segmentation is crucial for pulmonary infection diagnosis, severity assessment, and ...
BACKGROUND: Precise detection and characterization of pulmonary nodules on computed tomography (CT) ...
BACKGROUND: Identification of distinct clinical phenotypes of diseases can guide personalized treatm...
Cancer is a global health concern because of a significant mortality rate and a wide range of affect...
Primary graft dysfunction (PGD) is a common complication after lung transplantation associated with ...
Regional cerebral oxygen saturation (rSO) is used to monitor cerebral perfusion with emerging eviden...
Bovine respiratory disease (BRD) is the leading infectious disease in cattle, resulting in significa...
Recently, increasing research attention has been directed toward detecting the distribution of hazar...
INTRODUCTION: Despite advances in diagnostic technologies for tuberculosis (TB), global control of t...