Latest AI and machine learning research in pulmonology for healthcare professionals.
INTRODUCTION: Most asthma attacks and subsequent deaths are potentially preventable. We aim to devel...
Hand-crafted radiomics has been used for developing models in order to predict time-to-event clinica...
As the whole world is witnessing what novel coronavirus (COVID-19) can do to the mankind, it present...
While many pre-defined computed tomographic (CT) measures have been utilized to characterize chronic...
OBJECTIVES: To develop and validate a deep learning model to discriminate transient from persistent ...
Background It is uncertain whether a deep learning-based automatic detection algorithm (DLAD) for id...
Oxygen is an important factor in the wine aging process, and the oxygen transmission rate (OTR) is t...
In recent decades, various conventional techniques have been formulated around the world to evaluate...
OBJECTIVE: To develop a fully automated AI system to quantitatively assess the disease severity and ...
The Long Short-Term Memory (LSTM) network is widely used in modeling sequential observations in fiel...
Improving the quality of image-guided radiation therapy requires the tracking of respiratory motion ...
The development of deep learning technology has enabled machines to achieve high-level accuracy in i...
Dyspnea is one of the most common manifestations of patients with pulmonary disease, myocardial dysf...
Early cancer detection greatly increases the chances for successful treatment, but available diagnos...
BACKGROUND: When pulmonary complications occur, postlobectomy patients have a higher mortality rate,...
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) is an emerging worldwide threat to public ...
A significant proportion of the current technological developments in pneumology originate from the ...
BACKGROUND: Recently, deep learning (DL) algorithms have received widespread popularity in various m...
Background Women with congenital heart disease are considered at high risk for adverse events. There...
BACKGROUNDCurrently recommended traditional spirometry outputs do not reflect the relative contribut...
PURPOSE: To (1) develop a deep learning system (DLS) using a deep convolutional neural network (DCNN...