Latest AI and machine learning research in pulmonology for healthcare professionals.
Sleep apnoea is a common disorder affecting sleep quality by obstructing the respiratory airway. Thi...
Continuous capnography monitors patient ventilation but can be susceptible to artifact, resulting in...
PURPOSE: Robot-assisted radical prostatectomy (RARP) is a common surgical procedure for the treatmen...
BACKGROUND AND OBJECTIVE: Mechanical ventilation is a life-saving treatment for critically-ill patie...
Deep vein thrombosis (DVT) represents a critical health concern due to its potential to lead to pulm...
BACKGROUND: There is mounting evidence that asthma might exacerbate depression. We sought to examine...
Spectral collinearity and limited spectral datasets are the problems influencing Chemical Oxygen Dem...
Neonatal respiratory distress syndrome (nRDS) is a challenging condition to diagnose which can lead ...
Tuberculosis (TB) poses a significant health threat in Taiwan, necessitating efficient detection met...
Cyanobacterial blooms, often dominated by Microcystis aeruginosa, are capable of producing estrogeni...
Pulmonary Embolisms (PE) represent a leading cause of cardiovascular death. While medical imaging, t...
To improve respiratory gating accuracy and radiation treatment throughput, we developed a generalize...
Lung adenocarcinoma (LUAD) is the most common primary lung cancer and accounts for 40% of all lung c...
PURPOSE: The health and economic consequences of artificial intelligence (AI) systems for mechanical...
BACKGROUND & AIMS: Benign ulcerative colorectal diseases (UCDs) such as ulcerative colitis, Crohn's ...
BACKGROUND AND OBJECTIVES: Lifestyle-related diseases (LSDs) impose a substantial economic burden on...
BACKGROUND AND OBJECTIVE: Accurately predicting the extent of lung tumor infiltration is crucial for...
One in every four newborns suffers from congenital heart disease (CHD) that causes defects in the he...
The recurrence of low-stage lung cancer poses a challenge due to its unpredictable nature and divers...
The unpredictable pandemic came to light at the end of December 2019, known as the novel coronavirus...
OBJECTIVE: This study aims to design, validate and assess the accuracy a deep learning model capable...