Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Pulmonary tuberculosis (PTB) remains a global public health challenge, with 10.8 million...
AIMS: This research aims to develop an advanced deep-learning framework for detecting respiratory di...
BACKGROUND: Occupational health assessment is critical for detecting respiratory issues caused by ha...
Cell‒cell communication (CCC) is a fundamental biological process for the harmonious functioning of ...
Federated learning (FL) is advancing cancer research by enabling privacy-preserving collaborative tr...
Immunogenic cell death (ICD) has been implicated in sepsis, a condition with high mortality, through...
Early screening, diagnosis, and treatment of lung cancer are pivotal in clinical practice since the ...
OBJECTIVE: Molecular biomarkers have the potential to improve the current state of early screening o...
INTRODUCTION: Emergency rescue scenes and pre-hospital emergency stages commonly encounter trauma vi...
Early prediction of acute respiratory distress syndrome (ARDS) after liver transplantation (LT) faci...
Chest radiography remains a cornerstone of thoracic imaging; however, the influence of patient demo...
Despite a significant number of innovations for management of acute pulmonary embolism (PE) over the...
PURPOSE: To develop and validate a bedside machine learning (ML) decision support tool for predictio...
BACKGROUND: Data regarding the diagnostic efficacy of radial endobronchial ultrasound (R-EBUS) findi...
OBJECTIVE: Muscle wasting in critically ill patients, particularly those with prolonged hospitalizat...
BACKGROUND: Chronic obstructive pulmonary disease (COPD), marked by dyspnea, cough, and sputum produ...
INTRODUCTION: Lung auscultation is a fundamental diagnostic tool for respiratory conditions. Despite...
Tuberculosis (TB) kills more people annually than any other pathogen. Resistance is an ever-increasi...
Tuberculosis (TB) remains a major global health challenge, contributing substantially to morbidity a...
OBJECTIVE: This study aims to develop and validate a PET/CT radiomics fusion model for preoperative ...
The treatment outcomes of lung cancer are highly variable, and machine learning (ML) models provide ...