Evidence map›Paper›PMID 42644151›Full record

ArticleEuropean heart journal. Digital health2026

Real-life clinical validation of artificial intelligence-assisted echocardiography for aortic root and left ventricular outflow tract measurements against human readers and cardiac magnetic resonance.

Patrycja Mołek-Dziadosz, Oleksandra Bondarchuk, Aleksandra Woźniak, Maria Królikowska, Agnieszka Mirek, Anna Furman-Niedziejko, Karol Mazur, Elżbieta Ostrowska-Kaim, Karolina Golińska-Grzybała, Aleksander Siniarski and 6 more

Abstract read
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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. Not yet cited in PubMed.

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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

16 authors.

Patrycja Mołek-DziadoszDepartment of Coronary Artery Disease and Heart Failure, St. John Paul II Hospital, Prądnicka 80, Kraków 31-202, Poland.
Oleksandra BondarchukDepartment of Coronary Artery Disease and Heart Failure, St. John Paul II Hospital, Prądnicka 80, Kraków 31-202, Poland.
Aleksandra WoźniakDepartment of Coronary Artery Disease and Heart Failure, St. John Paul II Hospital, Prądnicka 80, Kraków 31-202, Poland.
Maria KrólikowskaDepartment of Coronary Artery Disease and Heart Failure, St. John Paul II Hospital, Prądnicka 80, Kraków 31-202, Poland.
Agnieszka MirekDepartment of Coronary Artery Disease and Heart Failure, St. John Paul II Hospital, Prądnicka 80, Kraków 31-202, Poland.ORCID https://orcid.org/0009-0007-4892-5589
Anna Furman-NiedziejkoDepartment of Coronary Artery Disease and Heart Failure, St. John Paul II Hospital, Prądnicka 80, Kraków 31-202, Poland.
Karol MazurDepartment of Diagnostics, St. John Paul II Hospital, Kraków, Poland.
Elżbieta Ostrowska-KaimNoninvasive Cardiovascular Laboratory, St. John Paul II Hospital, Kraków, Poland.
Karolina Golińska-GrzybałaNoninvasive Cardiovascular Laboratory, St. John Paul II Hospital, Kraków, Poland.
Aleksander SiniarskiDepartment of Coronary Artery Disease and Heart Failure, St. John Paul II Hospital, Prądnicka 80, Kraków 31-202, Poland.
Joanna Szachowicz-JaworskaDepartment of Radiology, St. John Paul II Hospital, Kraków, Poland.
Tomasz Miszalski-JamkaDepartment of Radiology, St. John Paul II Hospital, Kraków, Poland.
Radosław RychlakDepartment of Coronary Artery Disease and Heart Failure, St. John Paul II Hospital, Prądnicka 80, Kraków 31-202, Poland.
Marc R DweckBritish Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-9847-5917
Jadwiga NesslerDepartment of Coronary Artery Disease and Heart Failure, St. John Paul II Hospital, Prądnicka 80, Kraków 31-202, Poland.
Andrzej GackowskiDepartment of Coronary Artery Disease and Heart Failure, St. John Paul II Hospital, Prądnicka 80, Kraków 31-202, Poland.ORCID https://orcid.org/0000-0003-4545-6514

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Artificial intelligence (AI) algorithms may improve echocardiographic measurement standardization, but direct validation against cardiovascular magnetic resonance (CMR) remains limited. This study aimed to evaluate the agreement between AI-assisted transthoracic echocardiography (TTE), expert manual TTE, and CMR as a gold standard for aortic root and left ventricular outflow tract (LVOT) diameters. Methods and results: Out of 183 patients with analysable TTE and CMR recordings performed within 7 days, 169 had complete measurements of LVOT, sinotubular junction (STJ), and sinus of Valsalva (SoV) by AI and were included in the primary analysis. Automated AI measurements were obtained using the US2.ai platform and compared with those of expert echocardiographers and CMR. Agreement was assessed using intraclass correlation coefficients (ICC) and Bland-Altman analysis. Agreement between Expert 1 and CMR, and Expert 2 and CMR, yielded ICCs: 0.63 (95% CI: 0.50-0.73) and 0.51 (95% CI: 0.36-0.65) for LVOT, 0.71 (95% CI: 0.63-0.78) and 0.82 (95% CI: 0.73-0.87) for STJ, and 0.85 (95% CI: 0.79-0.89) to 0.85 (95% CI: 0.78-0.89) for SoV, respectively. Artificial intelligence-derived measurements demonstrated comparable agreement with CMR: ICC 0.70 (95% CI: 0.61-0.77) for LVOT, 0.77 (95% 0.70-0.83) for STJ, and 0.77 (95% 0.70-0.83) for SoV. Clinically significant differences (≥2 mm for LVOT and ≥4 mm for STJ and SoV) between AI and CMR measurements were observed in 36.7% of LVOT, 20% of STJ, and 11.8% of SoV measurements. Conclusion: Artificial intelligence-assisted echocardiography showed comparable agreement for aortic root and LVOT measurements, but physician oversight remains necessary.

Indexed as

Aortic rootArtificial intelligenceCardiac magnetic resonanceEchocardiographyLeft ventricular outflow

Identifiers

PMID42644151
PMCPMC13505863

What Socratic 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 Socratic graph.