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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 …
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
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 …
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 …
national economic and social development, and ranks among the top causes of death in the …
Artificial intelligence in cardiology: present and future
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 …
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 …
using sophisticated computer algorithms, has incorporated itself in medical field. AI …
Applications of artificial intelligence in cardiovascular imaging
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 …
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 …
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
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 …
intense exploration, showing potential to automate human tasks and even perform tasks …
Image-based cardiac diagnosis with machine learning: a review
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 …
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
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 …
globally. Despite recent advancements in understanding of the pathophysiology of HF, many …