Pulmonology

From Tissue Archives to Liquid Biopsy: Transfer Learning for MicroRNA-Based Lung Cancer Diagnosis.

Serum microRNA-based liquid biopsy holds a great application prospect in noninvasive lung cancer dia...

Multimodal data-driven multitask learning for enhanced identification and classification of chronic obstructive pulmonary disease: a retrospective study.

BACKGROUND: Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide...

Machine Learning Approach Enables Highly Accurate Identification of At-Risk Metabolic Dysfunction-Associated Steatohepatitis.

AIM: At-risk metabolic dysfunction-associated steatohepatitis (MASH), characterized by significant a...

Improved screening for pulmonary Kaposi sarcoma in a low-resource setting.

OBJECTIVE: The lung is commonly involved in advanced Kaposi sarcoma (KS) but diagnosis of pulmonary ...

Reproducing real-world clinical prediction models using the DIVE platform: A comparative validation study across three chronic diseases.

OBJECTIVES: The aim of this analysis is to evaluate the performance and reproducibility of the Pytho...

An Integrated Deep Learning Framework Leveraging NASNet and Vision Transformer with MixProcessing for Accurate and Precise Diagnosis of Lung Diseases.

Lung diseases such as pneumonia, tuberculosis, COVID-19, and lung cancer remain significant global h...

Effective lung nodule segmentation and classification by employing a SPPUNet model and global context attention-based InceptionV3.

Lung nodules (LNs) detection using computer tomography (CT) images is essential to reduce the mortal...

Lung scintigraphy for the diagnosis of acute pulmonary embolism.

Pulmonary embolism (PE) remains a major diagnostic challenge due to its potentially life-threatening...

Fully automatic AI diagnosis of alveolar bone defect in anterior teeth on CBCT images.

OBJECTIVE: To develop a fully automatic artificial intelligence (AI) system for diagnosing alveolar ...

Deep Learning-Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature Infants.

IMPORTANCE: Bronchopulmonary dysplasia (BPD) and pulmonary hypertension (PH) are leading causes of m...

Classification of industrial chemicals for respiratory chemosensory irritation using the TRPV1-expressing neuronal SH-SY5Y cell model and machine learning.

Artificial intelligence in idiopathic pulmonary fibrosis: advances, challenges and future directions.

Idiopathic pulmonary fibrosis (IPF) is a progressive disease of unknown aetiology, characterised by ...

Assessing in-hospital mortality risk in ICU lung cancer patients using machine learning: An analysis based on the MIMIC-IV database.

BACKGROUND: Patients with advanced lung cancer admitted to the intensive care unit (ICU) face a subs...

Exploring the impact of operating parameters and catalyst design on propane catalytic oxidation: a machine learning perspective.

Propane is a common pollutant in the petroleum industry. In this study, machine learning coupled wit...

Machine Learning Model Predicts Recurrent Clostridioides difficile Infection in Patients With Inflammatory Bowel Disease (Recur CDI-IBD).

INTRODUCTION: Clostridioides difficile infection (CDI) present a significant challenge in patients w...

Machine learning-driven prediction model for successful weaning of patients from mechanical ventilation in ICU.

BACKGROUND: Mechanical ventilation is a critical life support technology in the intensive care unit....

Comparison of conventional 512-matrix CT images with Swin2SR-based 2048-matrix images in the visualization and diagnosis of lung nodules.

PURPOSE: Clear visualization and diagnosis of lung nodules depend on the spatial resolution of CT im...

Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learning.

Neonatal prematurity leads to considerable morbidity and mortality, partly because of acquired condi...

Investigation on the Molecular Mechanism of ORF7a Suppressing BST-2 Antiviral Activity through Structural Modeling of Their Protein-Protein Interface.

In the present work, a structural model for the protein-protein interface of bone marrow stromal cel...

Ligand-based machine learning models to classify active compounds for prostaglandin EP2 receptor.

Prostaglandin receptors are pharmacologically validated targets with implications in several medical...

CT-based Prediction of Visceral Pleural Invasion in Lung Adenocarcinoma ≤ 3 cm: Enhancing Deep Learning Specificity by Waiving Chest Wall Information.

BACKGROUND: Accurate preoperative prediction of visceral pleural invasion (VPI) in lung adenocarcino...