Latest AI and machine learning research in pulmonology for healthcare professionals.
: The application of artificial intelligence (AI) and machine learning (ML) in medicine and in parti...
BACKGROUND: Lung cancer is one of the most dangerous malignant tumors, with the fastest-growing morb...
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate progno...
OBJECTIVE: To enhance the positive predictive value (PPV) of chest digital tomosynthesis (DTS) in th...
Measurement of oxygen uptake during exercise ([Formula: see text]) is currently non-accessible to mo...
OBJECTIVES: Pneumothorax is the most common and potentially life-threatening complication arising fr...
INTRODUCTION: Histologic subtypes of malignant pleural mesothelioma are a major prognostic indicator...
BACKGROUND: Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in c...
Cytology is the first pathological examination performed in the diagnosis of lung cancer. In our pre...
The purpose of this study was to evaluate an artificial intelligence (AI)-based prototype algorithm...
Hospital acquired pneumonia (HAP) is the second most common nosocomial infection in the ICU and cost...
In this work, we utilize a combination of free-text and structured data to build Acute Respiratory D...
PURPOSE: Spread through air space (STAS) is a novel invasive pattern of lung adenocarcinoma and is a...
PURPOSE: In clinical practice, invasiveness is an important reference indicator for differentiating ...
PURPOSE: To develop an accurate and fast deformable image registration (DIR) method for four-dimensi...
Over the past decade, there has been a groundswell of research interest in computer-based methods fo...
BACKGROUND: Little is known about exercise cardiac power (ECP), defined as the ratio of directly mea...
Early diagnosis of lung cancer via computed tomography can significantly reduce the morbidity and mo...
The aim of this paper was the detection of pathologies through respiratory sounds. The ICBHI (Intern...
Recently, deep reinforcement learning, associated with medical big data generated and collected from...
Patients with chronic obstructive pulmonary disease (COPD) repeat acute exacerbations (AE). Global I...