Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Minimizing postoperative complications is imperative to improving patient outcomes. The ...
The use of artificial intelligence (AI) in medicine has been growing steadily over the past decade, ...
OBJECTIVE: Pre-eclampsia (PE) and fetal growth restriction (FGR) have been shown to impact fetal car...
OBJECTIVES: This study aims to achieve accurate differentiation of malignant pleural mesothelioma (M...
Dynamic oxygen sensing technology facilitates the early diagnosis of diseases, the optimization of t...
BackgroundExtracorporeal membrane oxygenation (ECMO) is a critical life-sustaining intervention for ...
INTRODUCTION: Spatially resolved omics has reconceptualized the bronchial wall as a mosaic of epithe...
Arterial blood gas (ABG) analysis is a fundamental diagnostic tool in clinical medicine, offering cr...
Extracorporeal membrane oxygenation (ECMO) has emerged as a critical intervention in the management ...
BACKGROUND: Depression is prevalent among asthma patients, negatively impacting their quality of lif...
Lung cancer is one of the leading causes of cancer-related mortality globally, primarily due to the ...
BACKGROUND: Bipolar II disorder (BD-II) can progress to bipolar I disorder (BD-I), carrying profound...
PURPOSE OF REVIEW: Robotic-assisted thoracic surgery (RATS) has emerged as a transformative approach...
BACKGROUND AND PURPOSE: Myocardial fibrosis (MF), a hallmark of structural cardiac remodelling, driv...
OBJECTIVES: To establish normative three-dimensional airway measurements in patients without dentofa...
OBJECTIVES: Six-region lung ultrasound (LUS) scores show good predictive value for predicting surfac...
Large language models (LLMs) such as ChatGPT, Claude, and Gemini have become widely accessible since...
Hospital-acquired pneumonia (HAP) remains the most frequent and lethal hospital acquired infection, ...
BACKGROUND: Bronchial asthma is a complex, highly heterogeneous disease involving multiple pathologi...
OBJECTIVES: Accurate preoperative classification of pulmonary nodules (PNs) is critical for guiding ...
PURPOSE: To evaluate the image quality of pediatric portable chest radiographs processed using a dee...