Deep learning for cardiovascular imaging: A review

RM Wehbe, AK Katsaggleos, KJ Hammond… - JAMA …, 2023 - jamanetwork.com
Importance Artificial intelligence (AI), driven by advances in deep learning (DL), has the
potential to reshape the field of cardiovascular imaging (CVI). While DL for CVI is still in its …

[HTML][HTML] Cardiovascular/stroke risk stratification in Parkinson's disease patients using atherosclerosis pathway and artificial intelligence paradigm: a systematic review

JS Suri, S Paul, MA Maindarkar, A Puvvula, S Saxena… - Metabolites, 2022 - mdpi.com
Parkinson's disease (PD) is a severe, incurable, and costly condition leading to heart failure.
The link between PD and cardiovascular disease (CVD) is not available, leading to …

Deep learning for head and neck CT angiography: stenosis and plaque classification

F Fu, Y Shan, G Yang, C Zheng, M Zhang, D Rong… - Radiology, 2023 - pubs.rsna.org
Background Studies have rarely investigated stenosis detection from head and neck CT
angiography scans because accurate interpretation is time consuming and labor intensive …

[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] A novel deep learning model for a computed tomography diagnosis of coronary plaque erosion

S Park, H Yuki, T Niida, K Suzuki, D Kinoshita… - Scientific Reports, 2023 - nature.com
Patients with acute coronary syndromes caused by plaque erosion might be managed
conservatively without stenting. Currently, the diagnosis of plaque erosion requires an …

Advanced imaging modalities provide new insights into coronary artery calcification

X Ban, Z Li, Y Duan, K Xu, J Xiong, Y Tu - European Journal of Radiology, 2022 - Elsevier
Coronary calcification plays a major role as a key surrogate measure of plaque burden,
providing powerful risk stratification and influencing preventive therapy. Depending on its …

Cardiovascular CT, MRI, and PET/CT in 2021: review of key articles

G Tzimas, DT Ryan, DJ Murphy, JA Leipsic, JD Dodd - Radiology, 2022 - pubs.rsna.org
This review focuses on three key noninvasive cardiac imaging modalities—cardiac CT
angiography (CTA), MRI, and PET/CT—and summarizes key publications in 2021 relevant …

Utility of noncancerous chest CT features for predicting overall survival and noncancer death in patients with stage I lung cancer treated with stereotactic body …

I Tahir, JP Marquardt, ND Mercaldo… - American Journal of …, 2022 - Am Roentgen Ray Soc
BACKGROUND. Noncancerous imaging markers can be readily derived from pre-treatment
diagnostic and radiotherapy planning chest CT examinations. OBJECTIVE. The purpose of …

Artificial intelligence in coronary artery calcium measurement: Barriers and solutions for implementation into daily practice

T Yamaoka, S Watanabe - European Journal of Radiology, 2023 - Elsevier
Coronary artery calcification (CAC) measurement is a valuable predictor of cardiovascular
risk. However, its measurement can be time-consuming and complex, thus driving the desire …

[HTML][HTML] Feasibility and accuracy of coronary artery calcium score on virtual non-contrast images derived from a dual-layer spectral detector CT: a retrospective …

P Yang, R Zhao, W Deng, S An, Y Li… - Frontiers in …, 2023 - frontiersin.org
Rationale and objective This retrospective study was to evaluate the feasibility and accuracy
of coronary artery calcium score (CACS) from virtual non-contrast (VNC) images in …