[HTML][HTML] Artificial intelligence and cardiovascular risk prediction: all that glitters is not gold

M Chiarito, L Luceri, A Oliva, G Stefanini… - European Cardiology …, 2022 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is a broad term referring to any automated systems that need
'intelligence'to carry out specific tasks. During the last decade, AI-based techniques have …

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

M Van Smeden, G Heinze, B Van Calster… - European heart …, 2022 - academic.oup.com
The medical field has seen a rapid increase in the development of artificial intelligence (AI)-
based prediction models. With the introduction of such AI-based prediction model tools and …

Feasibility of artificial intelligence its current status, clinical applications, and future direction in cardiovascular disease

B Sandeep, X Liu, X Huang, X Wang, L Mao… - Current Problems in …, 2023 - Elsevier
In routine clinical practice, the diagnosis and treatment of cardiovascular disease (CVD) rely
on data in a variety of formats. These formats comprise invasive angiography, laboratory …

Five critical quality criteria for artificial intelligence-based prediction models

FS Van Royen, FW Asselbergs, F Alfonso… - European Heart …, 2023 - academic.oup.com
To raise the quality of clinical artificial intelligence (AI) prediction modelling studies in the
cardiovascular health domain and thereby improve their impact and relevancy, the editors …

Artificial Intelligence in the Prevention and Detection of Cardiovascular Disease

HZ Whiteson, WH Frishman - Cardiology in Review, 2023 - journals.lww.com
For more than 60 years, artificial intelligence (AI) has served as a mainstay in augmenting
and assisting the lives of individuals across a wide array of interests and professional fields …

Clinical application of machine learning-based artificial intelligence in the diagnosis, prediction, and classification of cardiovascular diseases

S Shu, J Ren, J Song - Circulation Journal, 2021 - jstage.jst.go.jp
With the rapid development of artificial intelligence (AI) and machine learning (ML), as well
as the arrival of the big data era, technological innovations have occurred in the field of …

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 …

Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review

Y Cai, YQ Cai, LY Tang, YH Wang, M Gong, TC Jing… - BMC medicine, 2024 - Springer
Background A comprehensive overview of artificial intelligence (AI) for cardiovascular
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …

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 …

Clinical applications of artificial intelligence in cardiology on the verge of the decade

K Pieszko, J Hiczkiewicz, J Budzianowski… - Cardiology …, 2021 - journals.viamedica.pl
Artificial intelligence (AI) has been hailed as the fourth industrial revolution and its influence
on people's lives is increasing. The research on AI applications in medicine is progressing …