AIMC Topic: Hypertension, Pulmonary
Clear Filters Showing 11 to 20 of 43 articles
Microscopy Image Dataset for Deep Learning-Based Quantitative Assessment of Pulmonary Vascular Changes.
Scientific data
Jun 15, 2024
Pulmonary hypertension (PH) is a syndrome complex that accompanies a number of diseases of different etiologies, associated with basic mechanisms of structural and functional changes of the pulmonary circulation vessels and revealed pressure increasi...
A comprehensive study on machine learning models combining with oversampling for bronchopulmonary dysplasia-associated pulmonary hypertension in very preterm infants.
Respiratory research
May 8, 2024
BACKGROUND: Bronchopulmonary dysplasia-associated pulmonary hypertension (BPD-PH) remains a devastating clinical complication seriously affecting the therapeutic outcome of preterm infants. Hence, early prevention and timely diagnosis prior to pathol...
Artificial intelligence to improve the diagnosis of pulmonary hypertension: promises and pitfalls.
Heart (British Cardiac Society)
Mar 22, 2024
The importance of data in Pulmonary Arterial Hypertension: from international registries to Machine Learning.
Medicina clinica
Feb 20, 2024
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 ...
Chamber Attention Network (CAN): Towards interpretable diagnosis of pulmonary artery hypertension using echocardiography.
Journal of advanced research
Nov 4, 2023
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...
External validation, radiological evaluation, and development of deep learning automatic lung segmentation in contrast-enhanced chest CT.
European radiology
Sep 29, 2023
OBJECTIVES: There is a need for CT pulmonary angiography (CTPA) lung segmentation models. Clinical translation requires radiological evaluation of model outputs, understanding of limitations, and identification of failure points. This multicentre stu...
Chronic thromboembolic pulmonary hypertension: realising the potential of multimodal management.
The Lancet. Respiratory medicine
Aug 14, 2023
Chronic thromboembolic pulmonary hypertension (CTEPH) is a rare complication of acute pulmonary embolism. Important advances have enabled better understanding, characterisation, and treatment of this condition. Guidelines recommending systematic foll...
Overcoming Diagnostic Delays in Pulmonary Hypertension With Deep-Learning ECG Analysis.
Journal of cardiac failure
Mar 5, 2023
Electrocardiogram Detection of Pulmonary Hypertension Using Deep Learning.
Journal of cardiac failure
Jan 24, 2023
BACKGROUND: Pulmonary hypertension (PH) is life-threatening, and often diagnosed late in its course. We aimed to evaluate if a deep learning approach using electrocardiogram (ECG) data alone can detect PH and clinically important subtypes. We asked: ...
Prognostic significance of pulmonary arterial wedge pressure estimated by deep learning in acute heart failure.
ESC heart failure
Dec 29, 2022
AIMS: Acute decompensated heart failure (ADHF) presents with pulmonary congestion, which is caused by an increased pulmonary arterial wedge pressure (PAWP). PAWP is strongly associated with prognosis, but its quantitative evaluation is often difficul...
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