Evidence map›Paper›PMID 42265270›Full record

ArticleNPJ digital medicine2026

Improving structural heart disease screening: AI-ECG and novice AI-guided focused cardiac ultrasound.

Méabh M Killalea, Jordan Borgeson, Conor J Kane, Jude Kovac, Christie Greason, Mayari A Gulati, Daniel A Schonfeld, Maria M Crestanello, Jessica Zacher, Gal Tsaban and 11 more

Abstract read
In one paragraph

Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

Méabh M KillaleaDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Jordan BorgesonDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Conor J KaneDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Jude KovacDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Christie GreasonDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Mayari A GulatiDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Daniel A SchonfeldDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Maria M CrestanelloDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Jessica ZacherDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Gal TsabanDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Eunjung LeeDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Jeffrey G MalinsDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Jwan A NaserDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Timothy J PoteruchaDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Paul A FriedmanDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Francisco Lopez-JimenezDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Garvan C KaneDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Zachi I AttiaDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Jeremy J ThadenDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Sorin V PislaruDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Jared G BirdDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA. bird.jared@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural heart disease (SHD) causes substantial morbidity, yet early detection is limited. In this prospective study, AI-enhanced ECG and AI-guided focused cardiac ultrasound (AI-FoCUS) were assessed for detecting SHD (left ventricular EF < 40%, ≥moderate aortic stenosis, hypertrophic cardiomyopathy, or cardiac amyloidosis) in 995 adults against comprehensive echocardiography performed within 30 min of AI-FoCUS. Nine complete novices used handheld ultrasound (Philips Lumify) with real-time AI guidance (UltraSight) with images interpreted by blinded experts. AI-FoCUS was feasible in 97.3%. Prevalence was 5.0% for EF < 40%, 3.5% for ≥moderate aortic stenosis, and 8.8% for hypertrophic cardiomyopathy or amyloidosis. AI-ECG alone yielded NPV 95.8% but PPV 29.6%, limiting standalone screening. AI-FoCUS alone achieved PPV 95.4% and NPV 98.0%, however requires imaging in all. A two-step strategy (positive AI-ECG followed by AI-FoCUS) maintained high PPV/NPV (96.1%/95.6%) but limited FoCUS imaging to 47%.In this echo referral cohort, novice AI-guided FoCUS acquisition with blinded expert interpretation was feasible and accurate for detecting selected SHD phenotypes. A two-step AI-ECG then AI-FoCUS strategy reduced FoCUS utilization, but lowered sensitivity compared with AI-FoCUS for all. However, both FoCUS-based strategies were superior to AI-ECG based screening alone. This work requires further assessment and validation in lower prevalence populations.

Identifiers

PMID42265270
PMCPMC13594241

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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.