Latest AI and machine learning research in pulmonology for healthcare professionals.
The conventional detection of COVID-19 by evaluating the CT scan images is tiresome, often experienc...
The increasing complexity of diagnostic imaging often leads to misinterpretations and diagnostic err...
BACKGROUND: Patients with severe dengue who develop severe respiratory failure requiring mechanical ...
BACKGROUND AND OBJECTIVE: Diagnosis of pathology in the mediastinum has proven quite challenging, gi...
BACKGROUND: Efforts toward tuberculosis management and control are challenged by the emergence of My...
BACKGROUND: Continuous waveform monitoring is standard-of-care for patients at risk for or with crit...
Self-supervised learning (SSL) reduces the need for manual annotation in deep learning models for me...
The coronavirus disease 2019 pandemic has underscored the importance of vaccines, especially for imm...
Cancer, a global health threat, demands effective diagnostic solutions to combat its impact on publi...
BACKGROUND: A growing body of research is using deep learning to explore the relationship between tr...
Early recognition of risk factors for prolonged mechanical ventilation (PMV) could allow for early c...
Post-transplant allograft fibrosis remains a challenge in prolonging allograft survival. Regulated ...
Lung cancer (LC) remains one of the leading causes of cancer-related mortality worldwide. With recen...
Purpose: This study aims to establish and validate machine learning-based models to predict death in...
Tuberculosis (TB), ranking just below COVID-19 in global mortality, is a highly complex infectious d...
Accurate lung lesion segmentation from computed tomography (CT) images is crucial to the analysis an...
The high burden of lung diseases on healthcare necessitates effective detection methods. Current Com...
Intrathoracic airway segmentation in computed tomography is a prerequisite for various respiratory d...
In the current era, a lot of research is being done in the domain of disease diagnosis using machine...
BACKGROUND: Accurate prediction of short-term mortality in patients with acute pulmonary embolism (P...
PURPOSE: Artificial intelligence (AI) algorithms for lung nodule detection have been developed to as...