Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Postoperative delirium (POD) is a heterogeneous syndrome associated with adverse outcomes. Traditional classifications may obscure underlying pathophysiological differences. Data-driven subtyping may reveal this heterogeneity and guide more precise management. METHODS: We performed a secondary exploratory analysis of a prospective cohort of adult surgical ICU patients who developed POD...
Solid organ transplantation has revolutionized the treatment of end-stage diseases, yet long-term graft survival remains constrained by immune-mediated injury and the limitations of conventional immunosuppression. Among intracellular pathways that translate alloimmune recognition into cellular activation and tissue remodeling, the mechanistic target of rapamycin (mTOR) has emerged as a central reg...
Deep learning (DL) chest radiograph (CXR) models are often trained on downsampled images to reduce computational overhead, despite clinical workflows ...
Examination of high-resolution whole-slide images requires an analysis of the histopathological images, which is essential in the precise diagnosis of...
Timely detection of circulatory and respiratory instability (CRI) is critical in intensive care units (ICUs), yet existing early warning systems often...
OBJECTIVE: To develop and validate a machine learning model for predicting reduced exercise capacity at 3 months postoperatively using clinical parame...
This document serves as the protocol for the development of the Chinese Guideline for the Diagnosis and Treatment of Hospital-Acquired Pneumonia and V...
Positive airway pressure therapy serves as a core therapeutic strategy for sleep-disordered breathing, with its efficacy generally evaluated via sleep...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is characterized by progressive airflow limitation, chronic airway inflammation, and epitheli...
RATIONALE AND OBJECTIVES: This study evaluated the efficacy of a combined artificial intelligence (AI)-assisted and traditional teaching model in enha...
BACKGROUND: Patients with gallstone-related biliary disease may deteriorate rapidly before definitive source control. This study aimed to develop an i...
BACKGROUND: Metabolic dysfunction-associated fatty liver disease (MAFLD), as the most prevalent chronic liver disease globally, is closely related to ...
BACKGROUND: Accurate assessment of the relationship between mandibular third molars and the mandibular canal is essential to reduce the risk of inferi...
OBJECTIVE: The current BTS guidelines recommend evaluation of suspicious pulmonary nodules using [18F]FDG-PET/CT imaging, followed by Herder model ris...
BACKGROUND: The differentiation between benign and malignant persistent pulmonary ground-glass nodules (GGNs) remains challenging, and the relative va...
BACKGROUND: Chest CT requires breath-holding and ionizing radiation. 3D ultrashort echo time (UTE) MRI allows radiation-free imaging, but the image qu...
Atomic force microscopy (AFM) enables the nanoscale investigation of cellular mechanics, morphology, and molecular interactions under conditions that ...
As an emerging biomarker of lung cancer, developing a highly sensitive method for the combined detection of dual lncRNAs holds significant value for t...
BACKGROUND: Host metabolic programs are increasingly recognized as key modulators of tuberculosis (TB) immunopathology, yet manganese metabolism-relat...
Low-dose CT (LDCT) lung cancer screening significantly reduces mortality but has dramatically increased the detection of pulmonary nodules. Most of th...