Artificial Intelligence for Cardiovascular Care—Part 1: Advances: JACC Review Topic of the Week

P Elias, SS Jain, T Poterucha, M Randazzo… - Journal of the American …, 2024 - jacc.org
Recent artificial intelligence (AI) advancements in cardiovascular care offer potential
enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on …

[HTML][HTML] Multi-modality cardiac image computing: A survey

L Li, W Ding, L Huang, X Zhuang, V Grau - Medical Image Analysis, 2023 - Elsevier
Multi-modality cardiac imaging plays a key role in the management of patients with
cardiovascular diseases. It allows a combination of complementary anatomical …

Federated learning for COVID-19 screening from Chest X-ray images

I Feki, S Ammar, Y Kessentini, K Muhammad - Applied Soft Computing, 2021 - Elsevier
Today, the whole world is facing a great medical disaster that affects the health and lives of
the people: the COVID-19 disease, colloquially known as the Corona virus. Deep learning is …

[HTML][HTML] Uncertainty-driven ensembles of multi-scale deep architectures for image classification

JE Arco, A Ortiz, J Ramirez, FJ Martinez-Murcia… - Information …, 2023 - Elsevier
The use of automatic systems for medical image classification has revolutionized the
diagnosis of a high number of diseases. These alternatives, which are usually based on …

[HTML][HTML] Federated learning approach for early detection of chest lesion caused by COVID-19 infection using particle swarm optimization

DR Kandati, TR Gadekallu - Electronics, 2023 - mdpi.com
The chest lesion caused by COVID-19 infection pandemic is threatening the lives and well-
being of people all over the world. Artificial intelligence (AI)-based strategies are efficient …

[HTML][HTML] A survey of catheter tracking concepts and methodologies

A Ramadani, M Bui, T Wendler, H Schunkert… - Medical image …, 2022 - Elsevier
Catheter tracking has become an integral part of interventional radiology. Over the last
decades, researchers have significantly contributed to theoretical and technical catheter …

Deep reinforcement learning for guidewire navigation in coronary artery phantom

J Kweon, K Kim, C Lee, H Kwon, J Park, K Song… - IEEE …, 2021 - ieeexplore.ieee.org
In percutaneous intervention for treatment of coronary plaques, guidewire navigation is a
primary procedure for stent delivery. Steering a flexible guidewire within coronary arteries …

Advances in diagnosis, therapy, and prognosis of coronary artery disease powered by deep learning algorithms

M Chu, P Wu, G Li, W Yang, JL Gutiérrez-Chico, S Tu - JACC: Asia, 2023 - jacc.org
Percutaneous coronary intervention has been a standard treatment strategy for patients with
coronary artery disease with continuous ebullient progress in technology and techniques …

Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays

H Malik, T Anees - Multimedia Tools and Applications, 2024 - Springer
The increasing global incidence of COVID-19 necessitates the rapid development of a
reliable method for diagnosing the disease. The virus is spreading so quickly, that medical …

Force control with a novel robotic catheterization system based on braided sleeve grippers

O Al-Ahmad, M Ourak, J Vlekken… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The complex, deformable, and dynamic cardiovascular system makes precise control of
flexible medical instruments a challenging task. An innovative robot-assisted catheterization …