ArticleNature medicine2019
Publisher Correction: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
Article in Nature medicine, 2019. 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.
- Long Short-Term Memory-GPT-4 Integration for Interpretable Biomedical Signal Classification: Proof-of-Concept Study.JMIR formative research · 2026Article
- Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions.Journal of general internal medicine · 2026Article
- Diagnostic Accuracy of Wearable ECG Devices for Atrial Fibrillation and ST-Segment Changes: A Systematic Review.Diagnostics (Basel, Switzerland) · 2025Review
- Implementing AI in clinical practice: Practical insights on integrating AI through digital dashboards and beyond.Heart rhythm · 2024Article
- Single-lead arrhythmia detection through machine learning: cross-sectional evaluation of a novel algorithm using real-world data.Open heart · 2023Article
- A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification.Bioengineering (Basel, Switzerland) · 2022Article
- The Emergence of Artificial Intelligence in Cardiology: Current and Future Applications.Current cardiology reviews · 2022Review
- Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network.Dento maxillo facial radiology · 2020Article
- Rapid Computer-Aided Diagnosis of Stroke by Serum Metabolic Fingerprint Based Multi-Modal Recognition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and Beyond.Cardiac failure review · 2020Review
Corrections and comments
- Erratum for
Authors and funding
7 authors.
Funding
Abstract
In the version of this article originally published, the x axis labels in Fig. 1a were incorrect. The labels originally were 'Specificity,' but should have been '1 - Specificity.' Also, the x axis label in Fig. 2b was incorrect. It was originally 'DNN predicted label,' but should have been 'Average cardiologist label.' The errors have been corrected in the PDF and HTML versions of this article.
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.