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Pulmonary Arterial Hypertension

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Prognostic importance of Kidney, Heart and Interstitial lung diseases (KHI triad) in PH: A machine learning study.

Archives of cardiovascular diseases 32888873
BACKGROUND: Pulmonary hypertension (PH) is a heterogeneous, severe and progressive disease with an impact on quality of life and life-expectancy despite specific therapies.
Aged Aged, 80 and over Cluster Analysis Comorbidity Data Mining Female France Health Status Heart Diseases Humans Kidney Diseases Lung Diseases, Interstitial Machine Learning Male Middle Aged Phenotype Prognosis Prospective Studies Pulmonary Arterial Hypertension Registries Risk Assessment Risk Factors
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Using deep learning to diagnose pulmonary hypertension.

European heart journal. Cardiovascular Imaging 35906842
Deep Learning Familial Primary Pulmonary Hypertension Humans Hypertension, Pulmonary Pulmonary Arterial Hypertension Tomography, X-Ray Computed
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A framework of deep learning networks provides expert-level accuracy for the detection and prognostication of pulmonary arterial hypertension.

European heart journal. Cardiovascular Imaging 35900292
AIMS: To test the hypothesis that deep learning (DL) networks reliably detect pulmonary arterial hypertension (PAH) and provide prognostic information.
Deep Learning Familial Primary Pulmonary Hypertension Humans Hypertension, Pulmonary Pulmonary Arterial Hypertension Ventricular Dysfunction, Right Ventricular Function, Right
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Chamber Attention Network (CAN): Towards interpretable diagnosis of pulmonary artery hypertension using echocardiography.

Journal of advanced research 37926144
INTRODUCTION: Accurate identification of pulmonary arterial hypertension (PAH) in primary care and rural areas can be a challenging task. However, recent advancements in computer vision offer the potential for automated systems to detect PAH from ech...
Adult Aged Echocardiography Female Humans Hypertension, Pulmonary Male Middle Aged Neural Networks, Computer Pulmonary Arterial Hypertension
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Artificial intelligence-based model for predicting pulmonary arterial hypertension on chest x-ray images.

BMC pulmonary medicine 38413932
BACKGROUND: Pulmonary arterial hypertension is a serious medical condition. However, the condition is often misdiagnosed or a rather long delay occurs from symptom onset to diagnosis, associated with decreased 5-year survival. In this study, we devel...
Artificial Intelligence Deep Learning Humans Pulmonary Arterial Hypertension Thorax X-Rays
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The importance of data in Pulmonary Arterial Hypertension: from international registries to Machine Learning.

Medicina clinica 38383269
Real-world registries have been critical to building the scientific knowledge of rare diseases, including Pulmonary Arterial Hypertension (PAH). In the past 4 decades, a considerable number of registries on this condition have allowed to improve the ...
Humans Hypertension, Pulmonary Machine Learning Prognosis Pulmonary Arterial Hypertension Registries
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A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension.

Journal of imaging informatics in medicine 39136826
The diagnosis and treatment of pulmonary hypertension have changed dramatically through the re-defined diagnostic criteria and advanced drug development in the past decade. The application of Artificial Intelligence for the detection of elevated pulm...
Aged Deep Learning Echocardiography Electrocardiography Female Humans Male Middle Aged Pulmonary Arterial Hypertension Radiography, Thoracic Sensitivity and Specificity
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Identification of fatty acid metabolism signature genes in patients with pulmonary arterial hypertension using WGCNA and machine learning.

The Journal of international medical research 39324181
OBJECTIVE: To investigate the signature genes of fatty acid metabolism and their association with immune cells in pulmonary arterial hypertension (PAH).
Algorithms Computational Biology Databases, Genetic Fatty Acids Female Gene Expression Profiling Gene Regulatory Networks Humans Hypertension, Pulmonary Machine Learning Male Pulmonary Arterial Hypertension Retrospective Studies ROC Curve Transcriptome
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Identification of an immune-related gene panel for the diagnosis of pulmonary arterial hypertension using bioinformatics and machine learning.

International immunopharmacology 39616855
OBJECTIVE: This study aimed to screen an immune-related gene (IRG) panel and develop a novel approach for diagnosing pulmonary arterial hypertension (PAH) utilizing bioinformatics and machine learning (ML).
Animals Biomarkers Computational Biology Disease Models, Animal Gene Expression Profiling Humans Lung Machine Learning Male Mice Mice, Inbred C57BL Pulmonary Arterial Hypertension Pulmonary Artery Superoxide Dismutase-1
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Exploring hypoxia driven subtypes of pulmonary arterial hypertension through transcriptomics single cell sequencing and machine learning.

Scientific reports 40275058
Pulmonary arterial hypertension (PAH) is a progressive cardiovascular disease characterized by elevated pulmonary arterial pressure, leading to right heart failure and death. Despite advancements in diagnosis and treatment, it remains incurable, and ...
Adult Female Gene Expression Profiling Humans Hypoxia Machine Learning Male Middle Aged Pulmonary Arterial Hypertension Single-Cell Analysis Transcriptome
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