Evidence map›Paper›PMID 30617320›Full record

ArticleNature medicine2019

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.

Awni Y Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H Tison, Codie Bourn, Mintu P Turakhia, Andrew Y Ng

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in Nature medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT07775976 (Cor360), which is not on this map. Cited by 925 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
925citing papers in PubMed, 5 pooled it
166.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

NCT07775976 enrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Cor360: Clinician-Facing Broad-Spectrum Cardiac Phenotyping and Risk Assessment Using COR® Wearable ECG to Inform Outcomes-Oriented Care Pathways

TypeobservationalSponsorPeerbridge Health, IncRan2026 to 2030Enrolled1,000ConditionsCardiovascular Diseases, Cardiovascular Diseases Risk, Cardiac Conduction System Disease, Bundle/Fascicular AbnormalitiesArmsCOR Wearable ECG Monitoring, Cor360 Clinician-Facing Decision-Aid Reporting
3 · Its place in the literature

Who cites it

925 citing papers in PubMed, 5 syntheses or guidelines pooled it, 2,791 citations in OpenAlex.

  1. Pooled it
  2. Deep learning for early diagnosis of uveal melanoma: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  18. [AI-Assisted ECG diagnostics : Classical test statistics still apply].Herzschrittmachertherapie & Elektrophysiologie · 2026
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865 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Awni Y Hannun *Department of Computer Science, Stanford University, Stanford, CA, USA. awni@cs.stanford.edu.ORCID http://orcid.org/0000-0003-3080-4002
Pranav Rajpurkar *Department of Computer Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-8030-3727
Masoumeh Haghpanahi *iRhythm Technologies Inc., San Francisco, CA, USA.
Geoffrey H Tison *Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-0310-3326
Codie BourniRhythm Technologies Inc., San Francisco, CA, USA.
Mintu P TurakhiaDepartment of Medicine and Center for Digital Health, Stanford University School of Medicine, Stanford, CA, USA.
Andrew Y NgDepartment of Computer Science, Stanford University, Stanford, CA, USA.
iRhythm (United States) · USStanford University · USStanford Medicine · USUniversity of California, San Francisco · USVA Palo Alto Health Care System · US

Funding

Dynamic prediction of heart failure using real-time functional status and EHR data in the ambulatory settingK23HL135274 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TISON, GEOFFREY H · 2018 to 2022
$999k
NHLBI NIH HHS K23 HL135274NIH HHS K23 HL135274
6 · The paper itself

Abstract

Computerized electrocardiogram (ECG) interpretation plays a critical role in the clinical ECG workflow

Indexed as

CardiologistsElectrocardiographyMonitoring, AmbulatoryNeural Networks, ComputerAlgorithmsArrhythmias, CardiacHumansROC Curve

Identifiers

PMID30617320
PMCPMC6784839
OpenAlexW2902644322

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.