Latest AI and machine learning research in pulmonology for healthcare professionals.
Chronic obstructive pulmonary disease (COPD) is a progressive lung disease that produces non-reversi...
HIV/AIDS is an ongoing global pandemic, with an estimated 39 million infected worldwide. Early detec...
Low flow extracorporeal carbon dioxide removal (ECCO2R) is a promising approach to correct hypercapn...
SARS-CoV2 pandemic exposed the limitations of artificial intelligence based medical imaging systems....
Respiratory irritation is an important human health endpoint in chemical risk assessment. There are ...
Patient motion during dynamic PET imaging can induce errors in myocardial blood flow (MBF) estimatio...
The objective is to explore the application effect of comprehensive nursing intervention in preventi...
OBJECTIVES: An accurate and rapid diagnosis is crucial for the appropriate treatment of pulmonary tu...
Airways segmentation is important for research about pulmonary disease but require a large amount of...
Acid treatment is one of the effective methods that directly modifies surface physical and chemical ...
This work was aimed to explore the role of CT angiography information provided by deep learning algo...
BACKGROUND: Machine learning (ML) prepares and trains a model through supervised or unsupervised lea...
Conditional Random Fields (CRFs) are often used to improve the output of an initial segmentation mod...
BACKGROUND: Visualizing fibrosis on cardiac magnetic resonance (CMR) imaging with contrast enhanceme...
Radiotherapy requires the target area and the organs at risk to be contoured on the CT image of the ...
Regional soft tissue mechanical strain offers crucial insights into tissue's mechanical function and...
The study aimed to explore the diagnostic value of computed tomography (CT) images based on cavity c...
AIMS: Clinical scoring systems for pulmonary embolism (PE) screening have low specificity and contri...
Bovine respiratory disease (BRD) is a multifactorial disease involving complex host immune interacti...
Deep learning has emerged as a promising technique for a variety of elements of infectious disease m...
OBJECTIVE: To evaluate the performance of a deep learning-based computer-aided detection (DL-CAD) sy...