ArticleFrontiers in physiology2022
Reliable Detection of Myocardial Ischemia Using Machine Learning Based on Temporal-Spatial Characteristics of Electrocardiogram and Vectorcardiogram.
Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 26 citations in OpenAlex.
- Development and validation of a machine learning model for diagnosis of ischemic heart disease using single-lead electrocardiogram parameters.World journal of cardiology · 2025Trial
- Diabetes-Related Alterations in Vectorcardiographic Repolarization Geometry: Insights from Physiological and Machine-Learning Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- ISENet: a deep learning model for detecting ischemic ST changes in long-term ECG monitoring.Medical & biological engineering & computing · 2025Article
- Enhancing myocardial infarction detection with vectorcardiography: fusion-based comparative analysis of machine learning methods.Frontiers in physiology · 2025Article
- The Association of Severe Coronary Tortuosity and Non-Obstructive Coronary Artery Disease.Medicina (Kaunas, Lithuania) · 2023Article
- Wearable Multisensor Ring-Shaped Probe for Assessing Stress and Blood Oxygenation: Design and Preliminary Measurements.Biosensors · 2023Article
- Knowledge graph analysis and visualization of artificial intelligence applied in electrocardiogram.Frontiers in physiology · 2023Article
- Filtering-induced changes of pulse transmit time across different ages: a neglected concern in photoplethysmography-based cuffless blood pressure measurement.Frontiers in physiology · 2023Article
- Electrocardiogram-based artificial intelligence for the diagnosis of heart failure: a systematic review and meta-analysis.Journal of geriatric cardiology : JGC · 2022Article
- Artificial intelligence and multimodal diagnostic approaches in cardiovascular disease.Archivos peruanos de cardiologia y cirugia cardiovascularReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.