Latest AI and machine learning research in pulmonology for healthcare professionals.
AIM: To develop and validate a nomogram model that combines computed tomography (CT)-based radiologi...
PURPOSE: Low-dose computed tomography (LDCT) for lung cancer screening is effective, although most e...
The cardiopulmonary exercise test (CPET) constitutes a gold standard for the assessment of an indivi...
In the field of biomedical imaging, ultrasonography has become common practice, and used as an impor...
The coronavirus is caused by the infection of the SARS-CoV-2 virus: it represents a complex and new ...
Complex urinary tract reconstruction has significantly advanced with the increasing use of robot-ass...
BACKGROUND: Accurate diagnosis of N2 lymph node status of the resectable stage I-II non-small cell l...
How to allocate the existing medical resources reasonably, alleviate hospital congestion and improve...
PURPOSE: To introduce a model that describes the effects of rigid translation due to respiratory mot...
BACKGROUND: The clinical impact of prolonged steep Trendelenburg position and CO pneumoperitoneum du...
Lung diseases are serious threats to human health and life, therefore, an accurate diagnosis of lung...
IMPORTANCE: Dual-energy chest radiography exhibits better sensitivity than single-energy chest radio...
This paper proposes a new deep learning (DL) framework for the analysis of lung diseases, including ...
OBJECTIVE: In this work, we explore and develop a method that uses Raman spectroscopy to measure and...
AIMS: Acute decompensated heart failure (ADHF) presents with pulmonary congestion, which is caused b...
Detailed anatomical labeling of bronchial trees extracted from CT images can be used as fine-grained...
PURPOSE: The feasibility of a deep learning-based markerless real-time tumor tracking (RTTT) method ...
Pre-processing is widely applied in medical image analysis to remove the interference information. H...
Auscultation is an important diagnostic method for lung diseases. However, it is a subjective modali...
BACKGROUND: Machine learning has been used to develop predictive models to support clinicians in mak...
BACKGROUND: The global burden of influenza is substantial. It is a major disease that causes annual ...