Latest AI and machine learning research in pulmonology for healthcare professionals.
Accurate and early detection of pneumoconiosis using chest X-rays (CXR) is important for preventing ...
Lung cancer screening (LCS) using annual computed tomography (CT) scanning significantly reduces mor...
BACKGROUND: A machine learning classifier system, Fibresolve, was designed and validated as an adjun...
This study intends to use the basic information and blood routine of schistosomiasis patients to est...
BACKGROUND: Emphysema influences the appearance of lung tissue in computed tomography (CT). We evalu...
Heart failure (HF) is a prevalent and debilitating condition that imposes a significant burden on h...
One of the most used diagnostic imaging techniques for identifying a variety of lung and bone-relate...
This study aimed to develop and validate a nomogram based on immune checkpoint genes (ICGs) for pred...
BACKGROUND: Valvular heart disease (VHD) is becoming increasingly important to manage the risk of fu...
The presentation of pulmonary embolism (PE) varies from asymptomatic to life-threatening, and manage...
The development of automated tools using advanced technologies like deep learning holds great promis...
PURPOSE: The aim is to devise a machine learning algorithm exploiting preoperative clinical data to ...
BACKGROUND: Previous studies have largely neglected the role of sulfur metabolism in LUAD, and no st...
The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging c...
Chronic Obstructive Pulmonary Disease (COPD), as one of the major global health threat diseases, par...
Since the COVID-19, cough sounds have been widely used for screening purposes. Intelligent analysis ...
Asthma, a common chronic respiratory disease among children and adults, affects more than 200 millio...
Radiation-induced lung injury (RILI) is a dose-limiting toxicity for cancer patients receiving thora...
Cardiac magnetic resonance imaging (CMR) is the gold standard for cardiac function assessment and pl...
OBJECTIVE: Tuberculosis (TB) is the second most deadly infectious disease globally, posing a signifi...
RATIONALE AND OBJECTIVES: To build a risk stratification by incorporating PET/CT-based deep learning...