2021 ESC Guidelines on cardiac pacing and cardiac resynchronization therapy: Developed by the Task Force on cardiac pacing and cardiac resynchronization …

M Glikson, JC Nielsen, MB Kronborg, Y Michowitz… - EP …, 2022 - academic.oup.com
for digital applications (smartphones, etc.). These versions are abridged and thus, for more
detailed information, the user should always access to the full text version of the guidelines …

Artificial intelligence in cardiology: Hope for the future and power for the present

L Karatzia, N Aung, D Aksentijevic - Frontiers in Cardiovascular …, 2022 - frontiersin.org
Cardiovascular disease (CVD) is the principal cause of mortality and morbidity globally. With
the pressures for improved care and translation of the latest medical advances and …

Risk assessment of cardiovascular disease based on SOLSSA-CatBoost model

X Wei, C Rao, X **ao, L Chen, M Goh - Expert systems with applications, 2023 - Elsevier
Cardiovascular disease (CVD) has become a significant public health problem affecting
national economic and social development, and ranks among the top causes of death in the …

Artificial intelligence in cardiology: present and future

F Lopez-Jimenez, Z Attia, AM Arruda-Olson… - Mayo Clinic …, 2020 - Elsevier
Artificial intelligence (AI) is a nontechnical, popular term that refers to machine learning of
various types but most often to deep neural networks. Cardiology is at the forefront of AI in …

Artificial intelligence in cardiovascular diseases: diagnostic and therapeutic perspectives

X Sun, Y Yin, Q Yang, T Huo - European journal of medical research, 2023 - Springer
Artificial intelligence (AI), the technique of extracting information from complex database
using sophisticated computer algorithms, has incorporated itself in medical field. AI …

Applications of artificial intelligence in cardiovascular imaging

M Sermesant, H Delingette, H Cochet, P Jaïs… - Nature Reviews …, 2021 - nature.com
Research into artificial intelligence (AI) has made tremendous progress over the past
decade. In particular, the AI-powered analysis of images and signals has reached human …

[HTML][HTML] Artificial intelligence in the diagnosis and detection of heart failure: the past, present, and future

F Yasmin, SMI Shah, A Naeem… - Reviews in …, 2021 - imrpress.com
Artificial Intelligence (AI) performs human intelligence-dependant tasks using tools such as
Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of …

Artificial intelligence and machine learning in arrhythmias and cardiac electrophysiology

AK Feeny, MK Chung, A Madabhushi… - Circulation …, 2020 - ahajournals.org
Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of
intense exploration, showing potential to automate human tasks and even perform tasks …

Image-based cardiac diagnosis with machine learning: a review

C Martin-Isla, VM Campello, C Izquierdo… - Frontiers in …, 2020 - frontiersin.org
Cardiac imaging plays an important role in the diagnosis of cardiovascular disease (CVD).
Until now, its role has been limited to visual and quantitative assessment of cardiac structure …

Artificial intelligence and heart failure: A state‐of‐the‐art review

MS Khan, MS Arshad, SJ Greene… - European Journal of …, 2023 - Wiley Online Library
Heart failure (HF) is a heterogeneous syndrome affecting more than 60 million individuals
globally. Despite recent advancements in understanding of the pathophysiology of HF, many …