AIMC Topic: Peripheral Arterial Disease
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Identifying peripheral arterial disease in the elderly patients using machine-learning algorithms.
Aging clinical and experimental research
Sep 27, 2021
BACKGROUND: Peripheral artery disease (PAD) is a common syndrome in elderly people. Recently, artificial intelligence (AI) algorithms, in particular machine-learning algorithms, have been increasingly used in disease diagnosis.
Discrimination of vascular aging using the arterial pulse spectrum and machine-learning analysis.
Microvascular research
Sep 8, 2021
Aging contributes to the progression of vascular dysfunction and is a major nonreversible risk factor for cardiovascular disease. The aim of this study was to determine the effectiveness of using arterial pulse-wave measurements, frequency-domain pul...
Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database.
Biomechanics and modeling in mechanobiology
Jul 31, 2021
This study presents an application of machine learning (ML) methods for detecting the presence of stenoses and aneurysms in the human arterial system. Four major forms of arterial disease-carotid artery stenosis (CAS), subclavian artery stenosis (SAS...
Deep learning-based photoplethysmography classification for peripheral arterial disease detection: a proof-of-concept study.
Physiological measurement
Jun 17, 2021
A proof-of-concept study to assess the potential of a deep learning (DL) based photoplethysmography PPG ('DLPPG') classification method to detect peripheral arterial disease (PAD) using toe PPG signals.PPG spectrogram images derived from our previous...
Leveraging Machine Learning and Artificial Intelligence to Improve Peripheral Artery Disease Detection, Treatment, and Outcomes.
Circulation research
Jun 10, 2021
Peripheral artery disease is an atherosclerotic disorder which, when present, portends poor patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss and excess rates of cardiovascular morbidity and death. Machine learnin...
Behavior Therapy
Carotid Artery Diseases
Supervised Machine Learning
Image Interpretation, Computer-Assisted
Life Style
Aortic Aneurysm
Algorithms
Forecasting
Phenotype
Humans
Prognosis
Artificial Intelligence
Peripheral Arterial Disease
Machine Learning
Natural Language Processing
Risk Assessment
Atherosclerosis
Treatment Outcome
Computational methods to automate the initial interpretation of lower extremity arterial Doppler and duplex carotid ultrasound studies.
Journal of vascular surgery
Apr 2, 2021
BACKGROUND: Lower extremity arterial Doppler (LEAD) and duplex carotid ultrasound studies are used for the initial evaluation of peripheral arterial disease and carotid stenosis. However, intra- and inter-laboratory variability exists between interpr...
Automated Histological Segmentation on Micro Computed Tomography Images of Atherosclerotic Arteries.
European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Feb 13, 2021
Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG-Derived Physiological Aging.
Journal of the American Heart Association
Jan 17, 2021
Background An artificial intelligence algorithm that detects age using the 12-lead ECG has been suggested to signal "physiologic age." This study aimed to investigate the association of peripheral microvascular endothelial function (PMEF) as an index...
Use of Natural Language Processing to Improve Identification of Patients With Peripheral Artery Disease.
Circulation. Cardiovascular interventions
Oct 12, 2020
BACKGROUND: Peripheral artery disease (PAD) is underrecognized, undertreated, and understudied: each of these endeavors requires efficient and accurate identification of patients with PAD. Currently, PAD patient identification relies on diagnosis/pro...
Male
Middle Aged
Diagnosis, Computer-Assisted
Peripheral Arterial Disease
Female
Reproducibility of Results
Aged
Aged, 80 and over
Endovascular Procedures
Vascular Surgical Procedures
Humans
Amputation, Surgical
Electronic Health Records
Predictive Value of Tests
Natural Language Processing
Data Mining
Ankle Brachial Index
PredyCLU: A prediction system for chronic leg ulcers based on fuzzy logic; part II-Exploring the arterial side.
International wound journal
Apr 13, 2020
Peripheral arterial disease (PAD) and its most severe form, critical limb ischaemia (CLI), are very common clinical conditions related to atherosclerosis and represent the major causes of morbidity, mortality, disability, and reduced quality of life ...
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