Latest AI and machine learning research in pulmonology for healthcare professionals.
BackgroundAlzheimer's disease (AD) patients frequently present to emergency departments (EDs) with complex comorbidities that complicate triage and management. Yet, little is known about how these multimorbidity patterns have evolved over time.ObjectiveTo identify temporal shifts in comorbidity-based phenotypes among older adults with AD visiting EDs between 2007 and 2022 using unsupervised cluste...
Fuel-cell-type electrochemical gas sensors are attractive for low-power monitoring but often suffer from humidity-sensitive baselines and limited long-term stability in nitrogen dioxide (NO2) detection. Here, we address this challenge by implementing redox pairing between chemically orthogonal electrodes in an asymmetric TiN/SnO2 heteroelectrode, in which metallic TiN serves as a NO2-reduction cat...
BACKGROUND: The molecular landscape of lung adenocarcinoma (LUAD) is often illustrated as a driver-oncogene "pie chart," but identical mutations exhib...
OBJECTIVES: TrueFidelity (TF), a deep learning image reconstruction algorithm that was originally available only in standard kernel, has recently beco...
BACKGROUND: Estimated pulmonary biological age (ePBA) has emerged as a more reliable indicator for disease progression and mortality than chronologica...
This review systematically summarizes the annual research advances in the field of critical care of pulmonary, with a focus on pulmonary and critical ...
In 2025, interventional pulmonology continues to progress rapidly through technological innovation and multidisciplinary integration, playing an incre...
BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection and remains a major global health chall...
Human metapneumovirus (hMPV) is a serious global health threat because it causes human respiratory diseases in people of all ages. The complicated dyn...
This study evaluates the ability of generative artificial intelligence (AI) models to standardize tumor-node-metastasis (TNM) staging data in lung can...
OBJECTIVE: To identify the optimal super-resolution (SR) architecture for radiomics by comparing three models (Residual Channel Attention Network (RCA...
Small cell lung cancer (SCLC) is a highly aggressive tumor with poor prognosis. Ferroptosis is closely linked to tumor antigen presentation: it affect...
Accurate evaluation of tumor size on follow-up computed tomography (CT) scans is critical for assessing treatment efficacy in cancer patients. However...
Drug resistance is a major challenge in cancer and infectious diseases, requiring innovative solutions. Recent research suggests that bacteria and can...
Fluorescence in situ hybridization (FISH) is a highly specific technique for pathogenic bacteria detection that requires no culturing and provides sim...
BACKGROUND: Asthma-related deaths in the United Kingdom are the highest in Europe, and only 30% of patients access basic care. There is a need for alt...
Intensity-modulated proton therapy (IMPT) provides steep dose gradients but is vulnerable to range uncertainties and respiratory motion, leading to in...
RASopathies are a group of genetic disorders caused by pathogenic variants in the RAS-mitogen-activated protein kinase (RAS-MAPK) signaling pathway, o...
INTRODUCTION: Early chronic obstructive pulmonary disease (COPD) is considered to represent the initial phase of the disease. However, inconsistent te...