Artificial intelligence in cardiology
By D. Bonderman. Wiener Klinische Wochenschrift, 2017
338 citations recorded by the source corpus.
SummaryDecision-making is complex in modern medicine and should ideally be based on available data, structured knowledge and proper interpretation in the context of an individual patient. Automated algorithms, also termed artificial intelligence that are able to extract meaningful patterns from data collections and build decisions upon identified patterns may be useful assistants in clinical decision-making processes. In this article, artificial intelligence-based studies in clinical cardiology are reviewed. The text also touches on the ethical issues and speculates on the future roles of automated algorithms versus clinicians in cardiology and medicine in general.
Subfields: Artificial Intelligence, Cardiology and Cardiovascular Medicine, Health Informatics
View Paper: https://www.semanticscholar.org/paper/d1680f7b6211fec36fee8ca976af89c48591b147
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In Artificial Intelligence
In Cardiology and Cardiovascular Medicine
In Health Informatics
Citations in the corpus
- Privacy and artificial intelligence: challenges for protecting health information in a new era (2021, background): “Several new AI technologies are approaching feasibility and a few are close to being integrated into healthcare systems [1, 2].”