[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, machine learning, and cardiovascular disease

P Mathur, S Srivastava, X Xu… - Clinical Medicine …, 2020 - journals.sagepub.com
Artificial intelligence (AI)-based applications have found widespread applications in many
fields of science, technology, and medicine. The use of enhanced computing power of …

Machine learning in heart failure: ready for prime time

SE Awan, F Sohel, FM Sanfilippo… - Current opinion in …, 2018 - journals.lww.com
Machine learning in heart failure: ready for prime time : Current Opinion in Cardiology Machine
learning in heart failure: ready for prime time : Current Opinion in Cardiology Log in or Register …

Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure

CR Olsen, RJ Mentz, KJ Anstrom, D Page… - American Heart Journal, 2020 - Elsevier
Abstract Machine learning and artificial intelligence are generating significant attention in
the scientific community and media. Such algorithms have great potential in medicine for …

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 …

Applications of artificial intelligence and machine learning in heart failure

T Averbuch, K Sullivan, A Sauer… - … Heart Journal-Digital …, 2022 - academic.oup.com
Abstract Machine learning (ML) is a sub-field of artificial intelligence that uses computer
algorithms to extract patterns from raw data, acquire knowledge without human input, and …

A convolutional neural network approach to detect congestive heart failure

M Porumb, E Iadanza, S Massaro, L Pecchia - … Signal Processing and …, 2020 - Elsevier
Abstract Congestive Heart Failure (CHF) is a severe pathophysiological condition
associated with high prevalence, high mortality rates, and sustained healthcare costs …

[HTML][HTML] 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 …

[HTML][HTML] Decision-making model for early diagnosis of congestive heart failure using rough set and decision tree approaches

CS Son, YN Kim, HS Kim, HS Park, MS Kim - Journal of biomedical …, 2012 - Elsevier
The accurate diagnosis of heart failure in emergency room patients is quite important, but
can also be quite difficult due to our insufficient understanding of the characteristics of heart …

[HTML][HTML] Artificial intelligence for the diagnosis of heart failure

DJ Choi, JJ Park, T Ali, S Lee - NPJ digital medicine, 2020 - nature.com
The diagnosis of heart failure can be difficult, even for heart failure specialists. Artificial
Intelligence-Clinical Decision Support System (AI-CDSS) has the potential to assist …