ReviewNetherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation2019
A primer in artificial intelligence in cardiovascular medicine.
Review in Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Electrocardiogram analysis for cardiac arrhythmia classification and prediction through self attention based auto encoder.Scientific reports · 2025Article
- The Heart of Transformation: Exploring Artificial Intelligence in Cardiovascular Disease.Biomedicines · 2025Review
- Review
- Review
- Generative Artificial Intelligence: Enhancing Patient Education in Cardiovascular Imaging.BJR open · 2024Review
- Attenuated reactive hyperemia after prolonged sitting is associated with reduced local skeletal muscle metabolism: insight from artificial intelligence.American journal of physiology. Regulatory, integrative and comparative physiology · 2023Article
- Investigating Students' Perceptions towards Artificial Intelligence in Medical Education.Healthcare (Basel, Switzerland) · 2023Article
- Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies.Current cardiology reports · 2022Review
- Exploration of the efficacy of radiomics applied to left ventricular tomograms obtained from D-SPECT MPI for the auxiliary diagnosis of myocardial ischemia in CAD.The international journal of cardiovascular imaging · 2022Article
- Intersection of stem cell biology and engineering towards next generationFrontiers in bioengineering and biotechnology · 2022Review
- Clinical applications of artificial intelligence in cardiology on the verge of the decade.Cardiology journal · 2021Review
- Routine Echocardiography and Artificial Intelligence Solutions.Frontiers in cardiovascular medicine · 2021Review
- Analyzing Surgical Treatment of Intestinal Obstruction in Children with Artificial Intelligence.Computational and mathematical methods in medicine · 2021Article
- The history of transcatheter aortic valve implantation: The role and contribution of an early believer and adopter, the Netherlands.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2020Review
- Neural Network-Based Clinical Prediction System for Identifying the Clinical Effects of Saffron (Crocus sativus L) Supplement Therapy on Allergic Asthma: Model Evaluation Study.JMIR medical informatics · 2020Article
- Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone.BMC medical informatics and decision making · 2020Article
- Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance.Cardiology research and practice · 2020Review
- Artificial intelligence for the general cardiologist.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Driven by recent developments in computational power, algorithms and web-based storage resources, machine learning (ML)-based artificial intelligence (AI) has quickly gained ground as the solution for many technological and societal challenges. AI education has become very popular and is oversubscribed at Dutch universities. Major investments were made in 2018 to develop and build the first AI-driven hospitals to improve patient care and reduce healthcare costs. AI has the potential to greatly enhance traditional statistical analyses in many domains and has been demonstrated to allow the discovery of 'hidden' information in highly complex datasets. As such, AI can also be of significant value in the diagnosis and treatment of cardiovascular disease, and the first applications of AI in the cardiovascular field are promising. However, many professionals in the cardiovascular field involved in patient care, education or science are unaware of the basics behind AI and the existing and expected applications in their field. In this review, we aim to introduce the broad cardiovascular community to the basics of modern ML-based AI and explain several of the commonly used algorithms. We also summarise their initial and future applications relevant to the cardiovascular field.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.