Latest AI and machine learning research in pulmonology for healthcare professionals.
The Covid-19 pandemic represents one of the greatest global health emergencies of the last few decad...
BACKGROUND: Tension pneumothorax is one of the leading causes of preventable death on the battlefiel...
The recent resurgence of deep learning (DL) has dramatically influenced the medical imaging field. M...
PURPOSE: Automatic identification of interventional devices in X-ray (XR) fluoroscopy offers the pot...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common, but under-recognised, critical i...
BACKGROUND: Usually, arterial oxygenation in patients with the acute respiratory distress syndrome (...
Novel coronavirus pneumonia (NCP) has become a global pandemic disease, and computed tomography-base...
BACKGROUND: The number of deaths from COVID-19 continues to surge worldwide. In particular, if a pat...
OBJECTIVE: Pneumonia is a lung infection and causes the inflammation of the small air sacs (Alveoli)...
The reliability of machine learning models can be compromised when trained on low quality data. Many...
At present, the global pandemic as it relates to novel coronavirus pneumonia is still a very difficu...
Common lung diseases are first diagnosed using chest X-rays. Here, we show that a fully automated de...
The 2019 novel coronavirus infectious disease (COVID-19) pandemic caused by severe acute respiratory...
Highly prevalent respiratory diseases such as asthma and allergy remain a pressing health challenge....
OBJECTIVE: The chest X-ray (CXR) is the most readily available and common imaging modality for the a...
In Low- and Middle- Income Countries (LMICs), machine learning (ML) and artificial intelligence (AI)...
The differentiation between major histological types of lung cancer, such as adenocarcinoma (ADC), s...
OBJECTIVES: The interpretability of convolutional neural networks (CNNs) for classifying subsolid no...
The Cepheid Xpert Xpress SARS-CoV-2/Flu/RSV combination test received emergency use authorization ap...
PURPOSE: The robust and automatic segmentation of the pulmonary lobe is vital to surgical planning a...
This positioning paper aims to discuss current challenges and opportunities for artificial intellige...