Evidence map›Paper›PMID 42169733›Full record

ArticleEuropean heart journal. Digital health2026

Smarter FoCUS: AI-guided focused cardiac ultrasound enables novice detection of left ventricular dysfunction.

Conor J Kane, Jordan Borgeson, Christie Greason, Jeffrey G Malins, D M Anisuzzaman, Gal Tsaban, Daniel Schonfeld, John I Jackson, Julia Wood, Eunjung Lee and 12 more

Abstract read
In one paragraph

Article in European heart journal. Digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

22 authors.

Conor J KaneDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Jordan BorgesonDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Christie GreasonDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Jeffrey G MalinsDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0002-2932-256X
D M AnisuzzamanDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Gal TsabanDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Daniel SchonfeldDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
John I JacksonDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Julia WoodDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Eunjung LeeDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Jwan A NaserDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Paul A FriedmanDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0001-5052-2948
Francisco Lopez-JimenezDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0001-5788-9734
Garvan C KaneDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Jae K OhDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Patricia A PellikkaDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Timothy J PoteruchaDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0001-7284-3937
Andrew RosenbaumDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Zachi I AttiaDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Jeremy J ThadenDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Sorin V PislaruDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.
Jared G BirdDepartment of Cardiovascular Medicine, Mayo Clinic, Gonda 6, 200 First Street SW, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0003-0506-2633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Heart failure is prevalent; however, there is no cost-effective screening option. Against formal echocardiography, we assessed the diagnostic performance of focused cardiac ultrasound (FoCUS), performed by novice users guided and interpreted by artificial intelligence (AI) for the assessment of left ventricular ejection fraction (LVEF). Methods and results: We prospectively enrolled 496 adults referred for diagnostic echocardiography. Novice operators (without clinical or imaging experience) underwent a 4-h imaging workshop, then performed FoCUS using a point-of-care device (Philips Lumify) utilizing real-time AI-image guidance (UltraSight). Images were assessed by AI-image interpretation software (Mayo Clinic), and two expert blinded echocardiologists. Median age was 67, 39% female, and body mass index range 17-56 kg/m Conclusion: In this early feasibility investigation, AI-guidance technology embedded on a handheld device, enabled novice users without clinical or imaging experience to acquire sufficient quality images to accurately assess LVEF with minimal training. The technology evaluated in this study may hold promise for AI-guidance and interpretation to facilitate low-cost screening for cardiac dysfunction.

Indexed as

Artificial intelligenceEchocardiographyHeart failureScreeningUltrasound

Identifiers

PMID42169733
PMCPMC13188223

What OpenQuestion holds

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Registered trials

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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.