Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Pulmonary hemorrhage (PH) in respiratory distress syndrome (RDS) in extremely preterm in...
Lung cancer is one of the most common life-threatening worldwide cancers affecting both the male and...
BACKGROUND: To retrospectively assess the added value of an artificial intelligence (AI) algorithm f...
OBJECTIVES: During mandibular third molar (MTM) extraction surgery, preoperative analysis to quantif...
PURPOSE: The aim of this study was to develop and validate a prediction model for classification of ...
OBJECTIVE: To assess whether the implementation of deep learning (DL) computer-aided detection (CAD)...
BACKGROUND: There are no known non-invasive tests (NITs) designed for accurately detecting metabolic...
Infectious diseases are a global public health problem that poses a threat to human society. Since t...
INTRODUCTION: Although clinical, functional, and biomarker data predict asthma exacerbations, newer ...
BACKGROUND: Lung cancer is characterized by high morbidity and mortality due to the lack of practica...
BACKGROUND: The anti-angiogenic drugs showed remarkable efficacy in the treatment of lung cancer. No...
Realizing the intelligent analysis of the intracellular reactive oxygen species (ROS) is beneficial ...
BACKGROUND: Ex vivo lung perfusion (EVLP) is a critical strategy to rehabilitate marginal donor lung...
Tuberculosis (TB) caused by is a leading infectious cause of death globally. The treatment of patie...
BACKGROUND AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD) has high heterogeneity in eti...
BACKGROUND: Accurate prognostication of overall survival (OS) for non-small cell lung cancer (NSCLC)...
Pulmonary hypertension (PH) is a serious prognostic complication in patients with systemic sclerosis...
Many studies have shown that infectious diseases are responsible for the majority of deaths in child...
Tuberculosis (TB), the second leading infectious killer globally, claimed the lives of 1.3 million i...
OBJECTIVES: By developing the deep learning model SPE-YOLO, the detection of small pulmonary embolis...
PROBLEM: Current spirometers face challenges in evaluating acceptability criteria, often requiring m...