An ECG biomarker for sudden cardiac death discovered with deep learning.

Ziad Obermeyer, Alexander Schubert, James Ross, Sendhil Mullainathan, Markus Lingman

Abstract readValidation Study

In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

The ECG as a Discovery Instrument for Sudden Cardiac Death.JACC. Basic to translational science · 2026
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ziad ObermeyerSchool of Public Health, University of California, Berkeley, Berkeley, CA, USA. zobermeyer@berkeley.edu.ORCID http://orcid.org/0000-0002-4563-5849

Alexander SchubertComputational Precision Health, College of Computing, Data Science, and Society, University of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0009-0002-4514-4430

James RossBooth School of Business, University of Chicago, Chicago, IL, USA.

Sendhil Mullainathan *Department of Economics, MIT, Cambridge, MA, USA.

Markus Lingman *Center for Applied Intelligent Systems Research in Health, Halmstad University & Region Halland, Halmstad, Sweden.ORCID http://orcid.org/0000-0002-4068-0341

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sudden cardiac death is, in theory, preventable with defibrillators. But every year, many patients die without defibrillators because doctors fail to predict their risk

Indexed as

Death, Sudden, CardiacDeep LearningElectrocardiographyArrhythmias, CardiacBiomarkersDeath CertificatesFemaleHumansMaleReproducibility of ResultsStroke VolumeSwedenTaiwanUnited StatesBiomarkers

Identifiers

PMID42343137

DOI10.1038/s41586-026-10674-6

PMCPMC13323061

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.