AIMC Topic: Lung

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Interpretable machine learning uncovers epithelial transcriptional rewiring and a role for Gelsolin in COPD.

JCI insight Nov 8, 2024
Transcriptomic analyses have advanced the understanding of complex disease pathophysiology including chronic obstructive pulmonary disease (COPD). However, identifying relevant biologic causative factors has been limited by the integration of high di...
Disease Models, Animal Epithelial Cells Gelsolin Transcriptome Gene Regulatory Networks Mice Machine Learning Female Pulmonary Disease, Chronic Obstructive Lung Gene Expression Profiling Animals Male Humans
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Optimizing pulmonary chest x-ray classification with stacked feature ensemble and swin transformer integration.

Biomedical physics & engineering express Nov 6, 2024
This research presents an integrated framework designed to automate the classification of pulmonary chest x-ray images. Leveraging convolutional neural networks (CNNs) with a focus on transformer architectures, the aim is to improve both the accuracy...
Humans Databases, Factual Lung Neural Networks, Computer Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Radiography, Thoracic
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Deep learning approaches for automated classification of neonatal lung ultrasound with assessment of human-to-AI interrater agreement.

Computers in biology and medicine Nov 5, 2024
Neonatal respiratory disorders pose significant challenges in clinical settings, often requiring rapid and accurate diagnostic solutions for effective management. Lung ultrasound (LUS) has emerged as a promising tool to evaluate respiratory condition...
Ultrasonography Image Interpretation, Computer-Assisted Male Lung Deep Learning Humans Female Infant, Newborn
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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review.

BMC medical imaging Nov 5, 2024
OBJECTIVE: To conduct a systematic review of the computer vision applications that detect, diagnose, or analyse tuberculosis (TB) pathology or bacilli using digitised human lung tissue images either through automatic or semi-automatic methods. We cat...
Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Pattern Recognition, Automated Tuberculosis, Pulmonary Algorithms Mycobacterium tuberculosis Lung
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Screening the Best Risk Model and Susceptibility SNPs for Chronic Obstructive Pulmonary Disease (COPD) Based on Machine Learning Algorithms.

International journal of chronic obstructive pulmonary disease Nov 5, 2024
BACKGROUND AND PURPOSE: Chronic obstructive pulmonary disease (COPD) is a common and progressive disease that is influenced by both genetic and environmental factors, and genetic factors are important determinants of COPD. This study focuses on scree...
Genetic Association Studies Logistic Models Predictive Value of Tests ROC Curve Genetic Predisposition to Disease Aged Phenotype Lung Polymorphism, Single Nucleotide Pulmonary Disease, Chronic Obstructive Humans Female Middle Aged Male Case-Control Studies Risk Factors Machine Learning Risk Assessment Algorithms
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Improving deep learning U-Net++ by discrete wavelet and attention gate mechanisms for effective pathological lung segmentation in chest X-ray imaging.

Physical and engineering sciences in medicine Nov 4, 2024
Since its introduction in 2015, the U-Net architecture used in Deep Learning has played a crucial role in medical imaging. Recognized for its ability to accurately discriminate small structures, the U-Net has received more than 2600 citations in acad...
Radiography, Thoracic Wavelet Analysis Lung Deep Learning Humans Image Processing, Computer-Assisted
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Optimizing lipid nanoparticles for fetal gene delivery in vitro, ex vivo, and aided with machine learning.

Journal of controlled release : official journal of the Controlled Release Society Oct 28, 2024
There is a clinical need to develop lipid nanoparticles (LNPs) to deliver congenital therapies to the fetus during pregnancy. The aim of these therapies is to restore normal fetal development and prevent irreversible conditions after birth. As a firs...
Female Animals Lung Nanoparticles Humans Machine Learning Pregnancy Gene Transfer Techniques Transfection Fibroblasts Fetus Lipids Trophoblasts Placenta
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Towards the Development of the Clinical Decision Support System for the Identification of Respiration Diseases via Lung Sound Classification Using 1D-CNN.

Sensors (Basel, Switzerland) Oct 27, 2024
Respiratory disorders are commonly regarded as complex disorders to diagnose due to their multi-factorial nature, encompassing the interplay between hereditary variables, comorbidities, environmental exposures, and therapies, among other contributing...
Lung Decision Support Systems, Clinical Respiration Disorders Humans Respiratory Sounds Neural Networks, Computer Algorithms
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Anomaly detection scheme for lung CT images using vector quantized variational auto-encoder with support vector data description.

Radiological physics and technology Oct 26, 2024
This study aims to develop an anomaly-detection scheme for lesions in CT images. Our database consists of lung CT images obtained from 1500 examinees. It includes 1200 normal and 300 abnormal cases. In this study, SVDD (Support Vector Data Descriptio...
Humans Tomography, X-Ray Computed Lung Image Processing, Computer-Assisted Support Vector Machine
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Rapid On-Site Histology of Lung and Pleural Biopsies Using Higher Harmonic Generation Microscopy and Artificial Intelligence Analysis.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Oct 16, 2024
Lung cancer is one of the most prevalent and lethal cancers. To improve health outcomes while reducing health care burden, it becomes crucial to move toward early detection and cost-effective workflows. Currently, there is no method for the on-site r...
Lung Neoplasms Biopsy Feasibility Studies Microscopy Male Middle Aged Lung Pleural Neoplasms Image Interpretation, Computer-Assisted Humans Artificial Intelligence Female Aged, 80 and over Aged Adult
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