Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Hip fractures have become a significant health concern, particularly among super-aged pa...
PURPOSE: Respiratory motion during PET acquisition may produce lesion blurring. Ultra-fast 20-second...
In this paper, we present a noninvasive method for the accurate estimation of methemoglobin concentr...
Respiratory rate (RR) changes in the elderly can indicate serious diseases. Thus, accurate estimatio...
BACKGROUND: Evidence is limited on whether patients with advanced pulmonary carcinoid (APC) benefit ...
PURPOSE: Artificial intelligence (AI) could reduce lung cancer screening computer tomography (CT)-re...
PURPOSE: Neonatal activity is an important physiological parameter in the neonatal intensive care un...
BACKGROUND: Inflammatory response and the coagulation system are pivotal in the pathogenesis of clin...
Accurate modeling of cardiovascular tissues is crucial for understanding and predicting their behavi...
This study investigates the role of basement membrane-related genes in kidney fibrosis, a significan...
BACKGROUND: An ideal lung allocation system should reduce waiting list deaths, improve transplant su...
Lung cancer remains a leading cause of cancer-related deaths worldwide, with low survival rates ofte...
BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD), the leading cause of mortality, is caused b...
Accurate staging of liver fibrosis from magnetic resonance imaging (MRI) is crucial in clinical prac...
Chest computed tomography (CT) scans are essential for accurately assessing the severity of the nove...
Clinical diagnosis typically incorporates physical examination, patient history, various laboratory ...
The escalating demand for chronic disease management has presented substantial challenges to traditi...
Stress perfusion cardiac magnetic resonance is an important technique for examining and assessing th...
BACKGROUND AND OBJECTIVE: Asynchronous breathing (AB) occurs when a mechanically ventilated patient'...
Uncertainty quantification is crucial in deep learning, especially in medical diagnostics, to measur...
BACKGROUND: AI-aided home stethoscopes offer the opportunity of continuous remote monitoring of cyst...