AIMC Topic: Lung

Clear Filters Showing 111 to 120 of 982 articles

A novel approach to the cause of death identification-multi-strategy integration of multi-organ FTIR spectroscopy information using machine learning.

Talanta Oct 11, 2024
Identifying the cause of death has always been a major focus and challenge in forensic practice and research. Traditional techniques for determining the causes of death are time-consuming, labor-intensive, have high professional barriers, and are vul...
Lung Kidney Spectroscopy, Fourier Transform Infrared Liver Machine Learning Brain Male Spleen Humans Neural Networks, Computer
View on PubMed DOI

DeepCOVIDNet-CXR: deep learning strategies for identifying COVID-19 on enhanced chest X-rays.

Biomedizinische Technik. Biomedical engineering Oct 8, 2024
OBJECTIVES: COVID-19 is one of the recent major epidemics, which accelerates its mortality and prevalence worldwide. Most literature on chest X-ray-based COVID-19 analysis has focused on multi-case classification (COVID-19, pneumonia, and normal) by ...
SARS-CoV-2 Lung Deep Learning Radiography, Thoracic Humans COVID-19 Databases, Factual
View on PubMed DOI

Using 3D point cloud and graph-based neural networks to improve the estimation of pulmonary function tests from chest CT.

Computers in biology and medicine Sep 27, 2024
Pulmonary function tests (PFTs) are important clinical metrics to measure the severity of interstitial lung disease for systemic sclerosis patients. However, PFTs cannot always be performed by spirometry if there is a risk of disease transmission or ...
Respiratory Function Tests Neural Networks, Computer Male Tomography, X-Ray Computed Humans Middle Aged Female Lung Adult Imaging, Three-Dimensional
View on PubMed DOI

Deep-learning model accurately classifies multi-label lung ultrasound findings, enhancing diagnostic accuracy and inter-reader agreement.

Scientific reports Sep 27, 2024
Despite the increasing use of lung ultrasound (LUS) in the evaluation of respiratory disease, operators' competence constrains its effectiveness. We developed a deep-learning (DL) model for multi-label classification using LUS and validated its perfo...
Middle Aged Lung Deep Learning Ultrasonography Lung Diseases Observer Variation Female Aged Adult Male Humans Retrospective Studies
View on PubMed DOI

Screening COPD-Related Biomarkers and Traditional Chinese Medicine Prediction Based on Bioinformatics and Machine Learning.

International journal of chronic obstructive pulmonary disease Sep 24, 2024
PURPOSE: To employ bioinformatics and machine learning to predict the characteristics of immune cells and genes associated with the inflammatory response and ferroptosis in chronic obstructive pulmonary disease (COPD) patients and to aid in the devel...
Mendelian Randomization Analysis Drugs, Chinese Herbal Genetic Markers Ferroptosis MicroRNAs Predictive Value of Tests Gene Expression Profiling Transcriptome Gene Regulatory Networks Genetic Predisposition to Disease Computational Biology Biomarkers Humans Databases, Genetic Pulmonary Disease, Chronic Obstructive Machine Learning Medicine, Chinese Traditional Lung Phenotype Molecular Docking Simulation
View on PubMed DOI

Human lung cancer classification and comprehensive analysis using different machine learning techniques.

Microscopy research and technique Sep 18, 2024
Lung cancer is the most common causes of death among all cancer-related diseases. A lung scan examination of the patient is the primary diagnostic technique. This scan analysis pertains to an MRI, CT, or X-ray. The automated classification of lung ca...
Humans Lung Image Processing, Computer-Assisted Machine Learning Lung Neoplasms Algorithms Decision Trees Support Vector Machine Tomography, X-Ray Computed Bayes Theorem
View on PubMed DOI

Construction of an artificial neural network diagnostic model and investigation of immune cell infiltration characteristics for idiopathic pulmonary fibrosis.

BMC pulmonary medicine Sep 17, 2024
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a severe lung condition, and finding better ways to diagnose and treat the disease is crucial for improving patient outcomes. Our study sought to develop an artificial neural network (ANN) model for ...
Idiopathic Pulmonary Fibrosis Collagen Type III Humans Neural Networks, Computer Lung Gene Expression Profiling Protein Interaction Maps Databases, Genetic
View on PubMed DOI

Pulmonary nodule visualization and evaluation of AI-based detection at various ultra-low-dose levels using photon-counting detector CT.

Acta radiologica (Stockholm, Sweden : 1987) Sep 15, 2024
BACKGROUND: Radiation dose should be as low as reasonably achievable. With the invention of photon-counting detector computed tomography (PCD-CT), the radiation dose may be considerably reduced.
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Photons Artificial Intelligence Tomography, X-Ray Computed Lung Lung Neoplasms Humans
View on PubMed DOI

Artificial intelligence system for identification of overlooked lung metastasis in abdominopelvic computed tomography scans of patients with malignancy.

Diagnostic and interventional radiology (Ankara, Turkey) Sep 9, 2024
PURPOSE: This study aimed to evaluate whether an artificial intelligence (AI) system can identify basal lung metastatic nodules examined using abdominopelvic computed tomography (CT) that were initially overlooked by radiologists.
Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Female Humans ROC Curve Lung Neoplasms Abdomen Pelvis Sensitivity and Specificity Radiography, Abdominal Aged Male Aged, 80 and over Middle Aged Adult Lung
View on PubMed DOI

Artificial intelligence-based quantification of pulmonary HRCT (AIqpHRCT) for the evaluation of interstitial lung disease in patients with inflammatory rheumatic diseases.

Rheumatology international Sep 9, 2024
High-resolution computed tomography (HRCT) is important for diagnosing interstitial lung disease (ILD) in inflammatory rheumatic disease (IRD) patients. However, visual ILD assessment via HRCT often has high inter-reader variability. Artificial intel...
Aged Adult Male Middle Aged Tomography, X-Ray Computed Female Reproducibility of Results Lung Lung Diseases, Interstitial Rheumatic Diseases Humans Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals