AIMC Topic: Fibrosis

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Left Atrial Wall Thickness Measured by a Machine Learning Method Predicts AF Recurrence After Pulmonary Vein Isolation.

Journal of cardiovascular electrophysiology Nov 29, 2024
BACKGROUND: Left atrial (LA) remodeling plays a significant role in the progression of atrial fibrillation (AF). Although LA wall thickness (LAWT) has emerged as an indicator of structural remodeling, its impact on AF outcomes remains unclear. We aim...
Retrospective Studies Female Risk Factors Aged Humans Machine Learning Treatment Outcome Action Potentials Predictive Value of Tests Registries Male Middle Aged Risk Assessment Time Factors Atrial Remodeling Catheter Ablation Recurrence Atrial Function, Left Pulmonary Veins Fibrosis Atrial Fibrillation Heart Atria Heart Rate
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Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature.

Medical image analysis Oct 22, 2024
Computational models of atrial fibrillation (AF) can help improve success rates of interventions, such as ablation. However, evaluating the efficacy of different treatments requires performing multiple costly simulations by pacing at different points...
Fibrosis Atrial Fibrillation Heart Atria Models, Cardiovascular Humans Machine Learning Algorithms Computer Simulation
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Multimodal ultrasound deep learning to detect fibrosis in early chronic kidney disease.

Renal failure Oct 22, 2024
We developed a multimodal ultrasound (US) deep learning (DL) fusion model to automatically classify early fibrosis in patients with chronic kidney disease (CKD). This prospective study included patients with CKD who underwent continuous gray-scale US...
Humans Renal Insufficiency, Chronic Prospective Studies Multimodal Imaging Female Aged Fibrosis Adult Deep Learning Elasticity Imaging Techniques Male Ultrasonography Middle Aged ROC Curve Kidney
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Role of artificial intelligence in Crohn's disease intestinal strictures and fibrosis.

Journal of digestive diseases Aug 27, 2024
Crohn's disease (CD) is a chronic inflammatory disorder of the gastrointestinal tract. Intestinal fibrosis or stricture is one of the most prevalent complications in CD with a high recurrence rate. Manual examination of intestinal fibrosis or strictu...
Crohn Disease Fibrosis Humans Artificial Intelligence Intestines Constriction, Pathologic
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Multi-modality deep learning-based [Ga]Ga-DOTA-FAPI-04 PET polar map generation: potential value in detecting reactive fibrosis after myocardial infarction.

European journal of nuclear medicine and molecular imaging Jul 26, 2024
PURPOSE: Generating polar map (PM) from [Ga]Ga-DOTA-FAPI-04 PET images is challenging and inaccurate using existing automatic methods that rely on the myocardial anatomical integrity in PET images. This study aims to enhance the accuracy of PM genera...
Myocardial Infarction Fibrosis Positron-Emission Tomography Organometallic Compounds Gallium Radioisotopes Humans Male Heterocyclic Compounds, 1-Ring Middle Aged Deep Learning Image Processing, Computer-Assisted Female Aged
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Combined expert-in-the-loop-random forest multiclass segmentation U-net based artificial intelligence model: evaluation of non-small cell lung cancer in fibrotic and non-fibrotic microenvironments.

Journal of translational medicine Jul 8, 2024
BACKGROUND: The tumor microenvironment (TME) plays a key role in lung cancer initiation, proliferation, invasion, and metastasis. Artificial intelligence (AI) methods could potentially accelerate TME analysis. The aims of this study were to (1) asses...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Random Forest Fibrosis Tumor Microenvironment Artificial Intelligence Male Humans Female Middle Aged Neural Networks, Computer Aged Image Processing, Computer-Assisted
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Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer.

Genome research Jun 25, 2024
Gastric cancer (GC) is the fifth most common cancer worldwide and is a heterogeneous disease. Among GC subtypes, the mesenchymal phenotype (Mes-like) is more invasive than the epithelial phenotype (Epi-like). Although gene expression of the epithelia...
Stomach Neoplasms Humans Core Binding Factor Alpha 2 Subunit Cell Line, Tumor Machine Learning Core Binding Factor Alpha 1 Subunit Gene Expression Regulation, Neoplastic Epithelial-Mesenchymal Transition DNA Copy Number Variations Fibrosis Transcription Factor AP-1
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Reproducibility and prognostic ability of chronicity parameters in kidney biopsy - Comprehensive evaluation comparing microscopy and artificial intelligence in digital pathology.

Human pathology Apr 18, 2024
INTRODUCTION: Semi-quantitative scoring of various parameters in renal biopsy is accepted as an important tool to assess disease activity and prognostication. There are concerns on the impact of interobserver variability in its prognostic utility, ge...
Observer Variation Polyomavirus Infections Prognosis Fibrosis Female Microscopy Reproducibility of Results Image Interpretation, Computer-Assisted Glomerular Filtration Rate Aged Adult Humans Kidney Diseases Male Artificial Intelligence Predictive Value of Tests Middle Aged Algorithms Biopsy Kidney Kidney Transplantation
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Digital pathology with artificial intelligence analysis provides insight to the efficacy of anti-fibrotic compounds in human 3D MASH model.

Scientific reports Mar 11, 2024
Metabolic dysfunction-associated steatohepatitis (MASH) is a severe liver disease characterized by lipid accumulation, inflammation and fibrosis. The development of MASH therapies has been hindered by the lack of human translational models and limita...
Humans Artificial Intelligence Biomarkers Fatty Liver Fibroblasts Fibrosis Tissue Inhibitor of Metalloproteinase-1 Collagen Type III
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Deep learning segmentation of fibrous cap in intravascular optical coherence tomography images.

Scientific reports Feb 22, 2024
Thin-cap fibroatheroma (TCFA) is a prominent risk factor for plaque rupture. Intravascular optical coherence tomography (IVOCT) enables identification of fibrous cap (FC), measurement of FC thicknesses, and assessment of plaque vulnerability. We deve...
Tomography, Optical Coherence Humans Fibrosis Reproducibility of Results Coronary Vessels Deep Learning Plaque, Atherosclerotic
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