AIMC Topic: Hypertension, Pulmonary
Clear Filters Showing 1 to 10 of 43 articles
Diagnostic MicroRNA Signatures to Support Classification of Pulmonary Hypertension.
Circulation. Genomic and precision medicine
Apr 18, 2025
BACKGROUND: Patients with pulmonary hypertension (PH) are classified based on disease pathogenesis and hemodynamic drivers. Classification informs treatment. The heart failure biomarker NT-proBNP (N-terminal pro-B-type natriuretic peptide) is used to...
A machine learning-based severity stratification tool for high altitude pulmonary edema.
BMC medical informatics and decision making
Apr 18, 2025
This study aimed to identify key predictors for the severity of High Altitude Pulmonary Edema (HAPE) to assist clinicians in promptly recognizing severely affected patients in the emergency department, thereby reducing associated mortality rates. Mul...
CPHNet: a novel pipeline for anti-HAPE drug screening via deep learning-based Cell Painting scoring.
Respiratory research
Mar 8, 2025
BACKGROUND: High altitude pulmonary edema (HAPE) poses a significant medical challenge to individuals ascending rapidly to high altitudes. Hypoxia-induced cellular morphological changes in the alveolar-capillary barrier such as mitochondrial structur...
Machine-learning tool for classifying pulmonary hypertension via expert reader-provided CT features: An educational resource for non-dedicated radiologists.
European journal of radiology
Feb 15, 2025
PURPOSE: Pulmonary hypertension (PH) is a complex disease classified into five groups (I-V) by the European Society of Cardiology/European Respiratory Society (ESC/ERS) guidelines. Chest contrast-enhanced computed tomography (CECT) is crucial in the ...
Development and Evaluation of a Deep Learning-Based Pulmonary Hypertension Screening Algorithm Using a Digital Stethoscope.
Journal of the American Heart Association
Feb 3, 2025
BACKGROUND: Despite the poor outcomes related to the presence of pulmonary hypertension, it often goes undiagnosed in part because of low suspicion and screening tools not being easily accessible such as echocardiography. A new readily available scre...
A Comprehensive Review of Artificial Intelligence (AI) Applications in Pulmonary Hypertension (PH).
Medicina (Kaunas, Lithuania)
Jan 7, 2025
Pulmonary hypertension (PH) is a complex condition associated with significant morbidity and mortality. Traditional diagnostic and management approaches for PH often face limitations, leading to delays in diagnosis and potentially suboptimal treatme...
Deep Learning to Detect Pulmonary Hypertension from the Chest X-Ray Images of Patients with Systemic Sclerosis.
International heart journal
Nov 14, 2024
Pulmonary hypertension (PH) is a serious prognostic complication in patients with systemic sclerosis (SSc). Deep learning models can be applied to detect PH in the chest X-ray images of these patients. The aim of the study was to investigate the perf...
An exploration into CTEPH medications: Combining natural language processing, embedding learning, in vitro models, and real-world evidence for drug repurposing.
PLoS computational biology
Sep 12, 2024
BACKGROUND: In the modern era, the growth of scientific literature presents a daunting challenge for researchers to keep informed of advancements across multiple disciplines.
Artificial intelligence meets pulmonary hypertension: early detection for a late-presenting disease.
The European respiratory journal
Jul 25, 2024
Applications of artificial intelligence in computed tomography imaging for phenotyping pulmonary hypertension.
Current opinion in pulmonary medicine
Jul 9, 2024
PURPOSE OF REVIEW: Pulmonary hypertension is a heterogeneous condition with significant morbidity and mortality. Computer tomography (CT) plays a central role in determining the phenotype of pulmonary hypertension, informing treatment strategies. Man...
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