Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: There is an emergence of mobile health (mHealth) interventions to support self-managemen...
Previously, our group predicted commercially available Food and Drug Administration (FDA) approved d...
OBJECTIVES: To (1) develop a fully automated deep learning (DL) algorithm based on gadoxetic acid-en...
Accurate diagnosis of pulmonary hypertension (PH) is crucial to ensure that patients receive timely ...
A 400-estimator gradient boosting classifier was trained to predict survival probabilities of trauma...
This study aimed to examine whether the diagnostic accuracy of four noninvasive tests (NITs) for det...
The novel coronavirus (COVID-19) pneumonia has become a serious health challenge in countries worldw...
Rapid assessment of breathing patterns is important for several emergency medical situations. In thi...
Artificial intelligence (AI) has found its way into clinical studies in the era of big data. Acute r...
Chronic Obstructive Pulmonary Disease (COPD) is a life-threatening lung disease, affecting millions ...
AIMS: The aim of this study was to estimate a 48 hour prediction of moderate to severe respiratory f...
INTRODUCTION: Our markerless tumor tracking algorithm requires 4DCT data to train models. 4DCT canno...
BACKGROUND: Pneumothorax can lead to a life-threatening emergency. The experienced radiologists can ...
PURPOSE: The purpose of this study was to create an algorithm to detect and classify pulmonary nodul...
BACKGROUND: Identifying which individuals will develop tuberculosis (TB) remains an unresolved probl...
A large number of fibroblast foci (FF) predict mortality in idiopathic pulmonary fibrosis (IPF). Oth...
Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel coronavirus (COVI...
Meteorological parameters were crucial and effective factors in past infectious diseases, like influ...
PURPOSE: Patients with chronic obstructive pulmonary disease (COPD) would have a poor prognosis if t...
OBJECTIVE: Development of biofluid-based biomarkers is attractive for the diagnosis of chronic obstr...
To explore the possibility of predicting the clinical types of Corona-Virus-Disease-2019 (COVID-19) ...