Latest AI and machine learning research in pulmonology for healthcare professionals.
The accurate categorization of lung nodules in CT scans is an essential aspect in the prompt detecti...
OBJECTIVES: A substantial number of incidental pulmonary embolisms (iPEs) in computed tomography sca...
The field of radiology imaging has experienced a remarkable increase in using of deep learning (DL) ...
OBJECTIVES: COVID-19 is one of the recent major epidemics, which accelerates its mortality and preva...
This short review illustrates, using two recent studies, the potential and challenges of using machi...
Central venous access devices (CVADs) are integral to cancer treatment. However, catheter-related th...
Integrating machine learning (ML) into intensive care units (ICUs) can significantly enhance patient...
Climate change pressures include the dissolved oxygen decline that in lagoon ecosystems can lead to ...
BACKGROUND AND PURPOSE: Radiotherapy (RT) in non-small cell lung cancer (NSCLC) can induce cardiac a...
BACKGROUND: The solid pattern is a highly malignant subtype of lung adenocarcinoma. In the current e...
BACKGROUND: Lung cancer (LC) is a leading cause of cancer-related mortality, and immunotherapy (IO) ...
The COVID-19 pandemic has underscored the critical need for precise diagnostic methods to distinguis...
To explore the predictive value of traditional machine learning (ML) and deep learning (DL) algorith...
OBJECTIVES: To investigate heterogeneity in the cost-effectiveness of high-flow nasal cannula (HFNC)...
BACKGROUND: Lymph node metastasis (LNM) plays a crucial role in the management of lung cancer; howev...
BACKGROUND: Idiopathic Pulmonary Fibrosis (IPF) presents a severe respiratory challenge with a poor ...
The study aimed to evaluate the impact of AI assistance on pulmonary nodule detection rates among ra...
Pulmonary function tests (PFTs) are important clinical metrics to measure the severity of interstiti...
The aim of our study was to develop robust diagnostic and prognostic models for lung adenocarcinoma ...
Deep learning-assisted digital pathology has demonstrated the potential to profoundly impact clinica...
Despite the increasing use of lung ultrasound (LUS) in the evaluation of respiratory disease, operat...