Latest AI and machine learning research in pulmonology for healthcare professionals.
OBJECTIVE: To assess changes in the distribution in pulmonary ventilation in anaesthetized ponies us...
Deformable image registration can be time consuming and often needs extensive parameterization to pe...
Tuberculosis (TB) has become one of the most significant public health problems in recent years. Ant...
The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatm...
OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, t...
Lysine acetylation is one of the most important types of protein post-translational modifications (P...
We present the effectiveness of Raman spectroscopy (RS) in combination with machine learning for scr...
During robot-assisted laparoscopic radical prostatectomy (RALP), steep Trendelenburg position and c...
We propose a novel airway segmentation method in volumetric chest computed tomography (CT) and evalu...
The accurate identification of malignant lung nodules on chest CT is critical for the early detectio...
Mycobacterium tuberculosis is a serious human pathogen threat exhibiting complex evolution of antimi...
OBJECTIVE: A novel computer-aided detection (CAD) scheme for lung nodule detection using a 3D deep c...
PURPOSE: Tuberculosis is a major global health threat claiming millions of lives each year. While th...
: Identification of early-stage pulmonary adenocarcinomas before surgery, especially in cases of sub...
The importance of social components of health has been emphasized both in epidemiology and public he...
A cardiac arrest is a life-threatening event, often fatal. Whilst clinicians classify some of the ca...
OBJECTIVE: The aim of this study is to predict the risk of severe acute pancreatitis (SAP) associate...
Purpose To develop and validate a deep learning-based automatic detection algorithm (DLAD) for malig...
BACKGROUND: Artificial intelligence (AI) is developing quickly in the medical field and can benefit ...
BACKGROUND: As healthcare increasingly digitizes, streaming waveform data is being made available fr...
Enoxaparin is a low molecular weight heparin commonly used in the treatment of venous thromboembolis...