AIMC Topic: Fibrosis

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Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models.

Circulation. Arrhythmia and electrophysiology Jan 28, 2022
BACKGROUND: Current ablation therapy for atrial fibrillation is suboptimal, and long-term response is challenging to predict. Clinical trials identify bedside properties that provide only modest prediction of long-term response in populations, while ...
Treatment Outcome Magnetic Resonance Imaging Action Potentials Electrocardiography, Ambulatory Machine Learning Risk Factors Risk Assessment Time Factors Recurrence Atrial Function, Left Models, Cardiovascular Patient-Specific Modeling Atrial Remodeling Fibrosis Atrial Fibrillation Heart Rate Catheter Ablation Humans
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Kidney Fibrosis Assessment by CT Using Machine Learning.

Kidney360 Jan 27, 2022
Humans Kidney Machine Learning Kidney Diseases Tomography, X-Ray Computed Fibrosis
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Contribution of phosphorus and PTH to the development of cardiac hypertrophy and fibrosis in an experimental model of chronic renal failure.

Nefrologia Jan 3, 2022
BACKGROUND AND OBJECTIVE: Adequate serum phosphorus levels in patients with chronic kidney disease is essential for their clinical management. However, the control of hyperphosphatemia is difficult because is normally associated with increases in ser...
Creatinine Calcium Inflammation Calcitriol Humans Models, Theoretical Cardiomegaly Fibrosis Tumor Necrosis Factor-alpha Renal Insufficiency, Chronic Hyperparathyroidism, Secondary Animals Kidney Failure, Chronic Hyperphosphatemia Rats Phosphorus
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Towards Intraoperative Quantification of Atrial Fibrosis Using Light-Scattering Spectroscopy and Convolutional Neural Networks.

Sensors (Basel, Switzerland) Sep 9, 2021
Light-scattering spectroscopy (LSS) is an established optical approach for characterization of biological tissues. Here, we investigated the capabilities of LSS and convolutional neural networks (CNNs) to quantitatively characterize the composition a...
Spectrum Analysis Neural Networks, Computer Humans Reproducibility of Results Myocardium Fibrosis
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Development of machine learning model to detect fibrotic non-alcoholic steatohepatitis in patients with non-alcoholic fatty liver disease.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Aug 13, 2021
Female Adult Cross-Sectional Studies Male Humans Machine Learning Middle Aged Non-alcoholic Fatty Liver Disease Fibrosis
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Deep-Learning-Driven Quantification of Interstitial Fibrosis in Digitized Kidney Biopsies.

The American journal of pathology May 23, 2021
Interstitial fibrosis and tubular atrophy (IFTA) on a renal biopsy are strong indicators of disease chronicity and prognosis. Techniques that are typically used for IFTA grading remain manual, leading to variability among pathologists. Accurate IFTA ...
Fibrosis Image Interpretation, Computer-Assisted Male Child Middle Aged Aged Humans Adolescent Kidney Diseases Aged, 80 and over Infant Female Child, Preschool Biopsy Infant, Newborn Deep Learning Young Adult Adult
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Validation of a machine learning approach using FIB-4 and APRI scores assessed by the metavir scoring system: A cohort study.

Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology May 10, 2021
BACKGROUND AND STUDY AIM: The study aim was to improve and validate the accuracy of the fibrosis-4 (FIB-4) and aspartate aminotransferase-to-platelet ratio index (APRI) scores for use in a potential machine-learning (ML) method that accurately predic...
Adult Cohort Studies Liver Cirrhosis Biopsy Humans Machine Learning Biomarkers Retrospective Studies Fibrosis Aspartate Aminotransferases
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Development and Validation of a Deep Learning Model to Quantify Interstitial Fibrosis and Tubular Atrophy From Kidney Ultrasonography Images.

JAMA network open May 3, 2021
IMPORTANCE: Interstitial fibrosis and tubular atrophy (IFTA) is a strong indicator of decline in kidney function and is measured using histopathological assessment of kidney biopsy core. At present, a noninvasive test to assess IFTA is not available.
Deep Learning Ultrasonography Kidney Diseases Biopsy Fibrosis Image Interpretation, Computer-Assisted Practice Guidelines as Topic Chicago Female Adult Male Middle Aged Humans Algorithms
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Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network.

Circulation. Cardiovascular imaging Dec 15, 2020
BACKGROUND: Pathological atrial fibrosis is a major contributor to sustained atrial fibrillation. Currently, late gadolinium enhancement (LGE) scans provide the only noninvasive estimate of atrial fibrosis. However, widespread adoption of atrial LGE ...
Magnetic Resonance Imaging Predictive Value of Tests Fibrosis Heart Atria Heart Diseases Image Interpretation, Computer-Assisted Observer Variation Automation Humans Neural Networks, Computer Reproducibility of Results Contrast Media Organometallic Compounds
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Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD.

Annals of diagnostic pathology Apr 12, 2020
Accurate detection and quantification of hepatic fibrosis remain essential for assessing the severity of non-alcoholic fatty liver disease (NAFLD) and its response to therapy in clinical practice and research studies. Our aim was to develop an integr...
Liver Cirrhosis Liver Biopsy Pathologists Clinical Trials as Topic Humans Organ Dysfunction Scores Artificial Intelligence Eosine Yellowish-(YS) Severity of Illness Index Methyl Green Image Processing, Computer-Assisted Collagen Supervised Machine Learning Automation Non-alcoholic Fatty Liver Disease Portal Vein Fibrosis Practice Patterns, Physicians' Azo Compounds
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