Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Postoperative pneumonia is a significant complication, highlighting a patient's ongoing vulnerability. While traditional tools focus on short-term outcomes, the perioperative period offers a unique "stress test" window to identify high-risk patients. This study developed and validated a machine-learning-based prognostic framework to predict pneumonia risk up to one year after surgery. ...
BACKGROUND: Ammonia, long regarded as a metabolic waste product, has recently been recognized as a pivotal oncometabolite in the tumor microenvironment, contributing to cancer progression and immune evasion. However, its prognostic value and therapeutic relevance in lung adenocarcinoma (LUAD) remain insufficiently characterized. METHODS: Transcriptomic data from multiple LUAD cohorts were obtained...
The post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID, represent a multifaceted challenge in pediatric populations, characterized by s...
BACKGROUND: Cardiac fibrosis is a pathophysiologic condition in heart diseases. It refers to an excess deposition of extracellular matrix, which will ...
Pseudomonas aeruginosa is a leading cause of nosocomial infections, particularly in individuals with a compromised immune system. Due to its strong ad...
BACKGROUND: Guideline-recommended algorithms (GL-algorithm) often results in indeterminate left ventricular filling pressure (LVFP). Despite high accu...
Recent advances in personalized sleep medicine and home-based health monitoring have grown rapidly, yet progress remains limited by the lack of comfor...
OBJECTIVE: Medullary gliomas pose significant surgical risks, particularly the risk of postoperative lower cranial nerve (LCN) dysfunction, which prof...
Respiratory tract infections (RTIs) are a significant cause of morbidity in children, caused by a wide range of pathogens. As treatment strategies dep...
PURPOSE: This systematic review and meta-analysis evaluated the performance of artificial intelligence (AI)-based models in diagnosing pediatric asthm...
Heterogeneity of treatment effect has yielded decades of negative critical care trials. Syndromic diagnoses like sepsis and acute respiratory distress...
Platinum-based high-entropy alloys (Pt-HEAs), composed of multiple principal elements in near-equiatomic ratios, have emerged as a transformative clas...
The amorphous-shell/crystalline-core architecture of black titania is central to its exceptional visible-light absorption and catalytic properties, ye...
An FDA-cleared artificial intelligence tool demonstrated frequent discordance with radiologist reports for lung nodule assessment on chest CT.
The rapid expansion of the industrial chemical space has outpaced regulatory oversight, creating a critical regulatory and environmental blind spot re...
BACKGROUND: Respiratory syncytial virus (RSV) is a leading cause of lower respiratory tract infections in children, but effective treatment options re...
BACKGROUND: Artificial intelligence (AI) has the potential to support clinicians in high-risk and complex decision-making processes, such as mechanica...
BACKGROUND: Interstitial lung disease (ILD) represents a significant extra-articular complication associated with rheumatoid arthritis (RA), contribut...
BACKGROUND: Recurrence after curative-intent resection remains a major determinant of long-term outcomes in non-small-cell lung cancer (NSCLC). Preope...
This issue of the Biomedical Journal explores emerging perspectives across neuropsychiatry, metabolism, aging, regenerative medicine, artificial intel...