Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Missed inspiratory efforts represent one of the most frequent and clinically relevant forms of patient-ventilator asynchrony during assisted mechanical ventilation. Their detection typically requires expert inspection of ventilator waveforms or the use of esophageal pressure (PESO), which limits continuous bedside recognition. Machine-learning approaches may enable automated, real-time...
Natural products have an unparalleled track record as sources of clinical drugs. Among them, nonribosomal peptides (NRPs) stand as one of the most therapeutically significant classes, encompassing numerous approved anti-infective and anticancer agents. Yet, discovering bioactive NRPs remains profoundly challenging due to their complex biosynthesis and chemical architecture. Here, we present NPDisc...
Asthma is a chronic inflammatory airway disease characterized by barrier dysfunction and excessive inflammatory response. In this study, we identified...
INTRODUCTION: Long-duration space missions demand reliable, portable, and autonomous medical diagnostic tools. Lung ultrasound (LUS) is ideal for spac...
INTRODUCTION: Artificial intelligence (AI) is increasingly used in tuberculosis (TB) diagnosis, but its clinical adoption depends not only on accuracy...
Artificial intelligence (AI) is reshaping paediatric healthcare, offering new capabilities across diagnosis, monitoring and treatment personalisation....
The frequency dependence of backscattered radiofrequency (RF) signals produced by ultrasound scanners carries rich information related to the tissue m...
RATIONALE: The host immune determinants that distinguish protective from life-threatening responses to influenza are poorly understood. Identifying dr...
The application of deep learning-based reconstruction (DLR) to magnetic resonance imaging (MRI) has been recently introduced in human and veterinary m...
Aging induces immunosenescence, a progressive decline in immune function underpinning age-related pathogen vulnerability, yet T/B cell receptor (TCR/B...
BACKGROUND: The radiation therapy treatment process is very labour intensive, and artificial intelligence (AI) based auto contouring tools are increas...
Multimodal artificial intelligence (AI) approaches integrating heterogeneous data sources represent an emerging frontier in liver fibrosis assessment....
BACKGROUND/AIM: Systemic inflammation is tightly linked to lung cancer prognosis, yet widely used blood-based indices show only modest discrimination....
BACKGROUND: Prognostic assessment in patients with severe pneumonia requiring veno-venous extracorporeal membrane oxygenation (V-V ECMO) has tradition...
Endothelial cells play a crucial role in the pathogenesis of acute respiratory distress syndrome (ARDS). The Endothelial Activation and Stress Index (...
BACKGROUND: Health systems are expected to reduce environmental impacts while preserving safe, continuous and equitable care. Artificial intelligence ...
Lithium-ion batteries (LIBs) have rapidly proliferated due to their high energy density, fast charging capability, and long cycle life. However, intri...
Protease activity mapping plays a vital role in understanding tumor microenvironments and developing diagnostic tools. However, simultaneous quantific...
Interstitial lung diseases (ILDs) require early recognition and longitudinal assessment, yet repeated high-resolution computed tomography (HRCT) is of...