Latest AI and machine learning research in pulmonology for healthcare professionals.
OBJECTIVE: Lung cancer is one of the unsafe diseases for human which reduces the patient life time. ...
: Traditional assessment of the readiness for the weaning from the mechanical ventilator (MV) needs ...
INTRODUCTION: The primary aim was to develop convolutional neural network (CNN)-based artificial int...
Novel Coronavirus disease (COVID-19) is a highly contagious respiratory infection that has had devas...
Pulmonary hypertension (PH) is a common complication of chronic obstructive pulmonary disease (COPD)...
OBJECTIVES: Chronic obstructive pulmonary disease (COPD) is underdiagnosed globally. The present stu...
To better understand the molecular basis of respiratory diseases of viral origin, high-throughput ge...
Interstitial pneumonia is a heterogeneous disease with a progressive course and poor prognosis, at t...
The authors of this study developed the use of attenuated total reflectance Fourier transform infrar...
World Health Organization (WHO) declared COVID-19 (COronaVIrus Disease 2019) as pandemic on March 11...
Pulmonary medical image analysis using image processing and deep learning approaches has made remark...
BACKGROUND AND OBJECTIVE: Tuberculosis (Tuberculosis, TB) is a public health problem in China, which...
BACKGROUND: COVID-19 pandemic resulted in about 165 million infections and 3.4 million deaths all ov...
For years, hepatologists have been seeking non-invasive methods able to detect significant liver fib...
Social and behavioral determinants of health (SBDoH) have important roles in shaping people's health...
Current COVID-19 predictive models primarily focus on predicting the risk of mortality, and rely on ...
The persistence and emergence of new multi-drug resistant Mycobacterium tuberculosis (M. tb) strains...
Early detection and mitigation of disease recurrence in non-small cell lung cancer (NSCLC) patients ...
After the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in 2019, identif...
BACKGROUND AND PURPOSE: To develop a novel deep learning algorithm of sequential analysis, Seq2Seq, ...
Over the past few years, positron emission tomography/computed tomography (PET/CT) imaging for compu...