Latest AI and machine learning research in pulmonology for healthcare professionals.
AbstractPulmonary infections caused by nontuberculous mycobacteria (NTM), particularly Mycobacterium...
Metabolic reprogramming toward aerobic glycolysis, a phenomenon analogous to the Warburg effect, is ...
Aging is a well-recognized risk factor in cardiovascular diseases (CVDs), primarily due to its assoc...
Augmented renal clearance (ARC) frequently occurs in critically ill septic patients and is known to ...
Spread through air spaces (STAS) is recognized as an aggressive pattern of invasion in lung cancer a...
BACKGROUND: To evaluate and compare the diagnostic performance of several commonly used deep learnin...
The expanding footprint of human radiation exposure, driven by advances in interventional diagnostic...
Integrating artificial intelligence (AI) with sports medicine principles into school-based physical ...
OBJECTIVE: This study was to optimize the current methods for identifying and predicting the risk of...
PURPOSE: Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer radiotherapy, often p...
PURPOSE: To investigate the associations between emphysema and pulmonary vessels in patients with ch...
UNLABELLED: Several severity scores have been developed to assess disease severity in infants with b...
BACKGROUND: Noncommunicable diseases are the leading cause of death worldwide. Cardiovascular and re...
BACKGROUND: Pulmonary arterial hypertension (PAH) is a progressive vascular disease characterized by...
Despite the placement of millions of dental implants annually, one-quarter to one-half of cases requ...
Lung cancer remains the leading cause of cancer-related mortality worldwide despite advances in earl...
This review highlights the application of statistical models in addressing respiratory diseases worl...
This study presents a hybrid modelling framework that integrates classical statistical methods (ARIM...
This study integrates agent-based modeling (ABM) and causal machine learning (ML) to assess the impa...
Detecting tuberculosis on X-rays remains complex and challenging for clinicians. In Burkina Faso, th...
Timely cohort identification remains a challenge in hospitals due to fragmented systems, delayed cod...