[HTML][HTML] Vascular implications of COVID-19: role of radiological imaging, artificial intelligence, and tissue characterization: a special report

NN Khanna, M Maindarkar, A Puvvula, S Paul… - Journal of …, 2022 - mdpi.com
The SARS-CoV-2 virus has caused a pandemic, infecting nearly 80 million people
worldwide, with mortality exceeding six million. The average survival span is just 14 days …

[HTML][HTML] Artificial intelligence in atherosclerotic disease: applications and trends

PN Kampaktsis, M Emfietzoglou, A Al Shehhi… - Frontiers in …, 2023 - frontiersin.org
Atherosclerotic cardiovascular disease (ASCVD) is the most common cause of death
globally. Increasing amounts of highly diverse ASCVD data are becoming available and …

[HTML][HTML] Physician-and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease …

V Ho, CB Johnson, I Ghanzouri, S Amal, S Asch… - JMIR cardio, 2023 - cardio.jmir.org
Background: Peripheral arterial disease (PAD) is underdiagnosed, partially due to a high
prevalence of atypical symptoms and a lack of physician and patient awareness …

[HTML][HTML] Patterns in the use of heart failure telemonitoring: post hoc analysis of the e-Vita heart failure trial

M Brons, I Ten Klooster, L van Gemert-Pijnen… - JMIR cardio, 2023 - cardio.jmir.org
Background Research on the use of home telemonitoring data and adherence to it can
provide new insights into telemonitoring for the daily management of patients with heart …

[HTML][HTML] Interpretable machine learning models for detecting peripheral neuropathy and lower extremity arterial disease in diabetics: an analysis of critical shared and …

Y Wu, D Dong, L Zhu, Z Luo, Y Liu, X Xie - BMC Medical Informatics and …, 2024 - Springer
Background Diabetic peripheral neuropathy (DPN) and lower extremity arterial disease
(LEAD) are significant contributors to diabetic foot ulcers (DFUs), which severely affect …

[HTML][HTML] Applications of SPECT and PET Imaging for the Physiological Evaluation of Lower Extremity Peripheral Artery Disease

ET Rimmerman, MR Stacy - International Journal of Molecular Sciences, 2024 - mdpi.com
Peripheral artery disease (PAD) is classified as the narrowing or complete occlusion of the
lower extremity arteries due to atherosclerosis. The risk of developing PAD increases with …

Assessment of renal fibrosis in patients with chronic kidney disease using shear wave elastography and clinical features: a random forest approach

Z Chen, TC Ying, J Chen, Y Wang, C Wu… - Ultrasound in Medicine & …, 2023 - Elsevier
Objective Renal fibrosis is the common pathological hallmark of chronic kidney disease
(CKD) progression. In this study, a random forest (RF) classifier based on 2-D shear wave …

Tailored risk assessment and forecasting in intermittent claudication

B Ravindhran, J Prosser, A Lim, B Mishra, R Lathan… - BJS open, 2024 - academic.oup.com
Background Guidelines recommend cardiovascular risk reduction and supervised exercise
therapy as the first line of treatment in intermittent claudication, but implementation …

Artificial intelligence application in vascular diseases

K Spanos, AD Giannoukas, G Kouvelos… - Journal of Vascular …, 2022 - jvascsurg.org
Artificial Intelligence (AI) and machine learning (ML) technologies are rapidly revolutionizing
the healthcare system and patient management. Various AI applications have been …

[HTML][HTML] Prediction of 2-year major adverse limb event-free survival after percutaneous transluminal angioplasty and stenting for lower limb atherosclerosis obliterans …

T Pan, X Jiang, H Liu, Y Liu, W Fu… - Frontiers in Cardiovascular …, 2022 - frontiersin.org
Background The current scoring systems could not predict prognosis after endovascular
therapy for peripheral artery disease. Machine learning could make predictions for future …