ArticleThe EPMA journal2018
A new non-invasive diagnostic tool in coronary artery disease: artificial intelligence as an essential element of predictive, preventive, and personalized medicine.
Article in The EPMA journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.
- Future promise, current clinical ambiguity: a systematic review of machine learning algorithm outputs predicting risk of cardiovascular disease.Open heart · 2026Pooled it
- Comparing machine learning models and traditional approaches for predicting obstructive coronary artery disease: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2026Pooled it
- Considerations for the Adoption of Digital Algorithms and Cardiovascular Decision-Support Tools in Clinical Practice.Critical pathways in cardiology · 2026Review
- [Coronary heart disease-a German paradox : Using AI-based technology to solve a relevant healthcare problem].Herzschrittmachertherapie & Elektrophysiologie · 2026Review
- Identification of potential blood biomarkers of coronary artery disease using a cuproptosis gene set.European journal of medical research · 2025Article
- The Value of Clinical Decision Support in Healthcare: A Focus on Screening and Early Detection.Diagnostics (Basel, Switzerland) · 2025Review
- Article
- The Emergency Medical Team Operating System - a vision for field hospital data management in following the concepts of predictive, preventive, and personalized medicine.The EPMA journal · 2024Article
- The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations.Health and technology · 2024Review
- Artificial intelligence to improve ischemia prediction in Rubidium Positron Emission Tomography-a validation study.The EPMA journal · 2023Article
- Artificial Intelligence-Based Methods for Precision Cardiovascular Medicine.Journal of personalized medicine · 2023Review
- Article
- [Heart failure care in a digitalized future : A discourse on resource-sparing structures and self-determined patients].Der Internist · 2021Review
- [Artificial intelligence in cardiology : Relevance, current applications, and future developments].Herzschrittmachertherapie & Elektrophysiologie · 2021Review
- Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice.The EPMA journal · 2020Article
- Implementation of artificial intelligence and non-contact infrared thermography for prediction and personalized automatic identification of different stages of cellulite.The EPMA journal · 2020Article
- Artificial Intelligence, Machine Learning, and Cardiovascular Disease.Clinical Medicine Insights. Cardiology · 2020Review
- Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care.The EPMA journal · 2019Review
- Digital Health Consumers on the Road to the Future.Journal of medical Internet research · 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
8 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundKnown coronary artery disease (CAD) risk scores (e.g., Framingham) estimate the CAD-related event risk rather than presence/absence of CAD. Artificial intelligence (AI) is rarely used in this context.
aimsThis study aims to evaluate the diagnostic power of AI (memetic pattern-based algorithm (MPA)) in CAD and to expand its applicability to a broader patient population. METHODS AND
resultsNine hundred eighty-seven patients of the Ludwigshafen Risk and Cardiovascular Health Study (LURIC) were divided into a training (
conclusionsThe successful use of the MPA approach has been demonstrated in a broad-risk spectrum of patients undergoing CAD evaluation, as an element of predictive, preventive, personalized medicine, and may be used instead of further non-invasive diagnostic procedures.
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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.