Evidence map›Paper›PMID 37397831›Full record

ReviewWorld journal of cardiology2023

Current role and future perspectives of artificial intelligence in echocardiography.

Rafael Vidal-Perez, Julia Grapsa, Alberto Bouzas-Mosquera, Ricardo Fontes-Carvalho, Jose Manuel Vazquez-Rodriguez

Abstract readReview
In one paragraph

Review in World journal of cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Cardiogenic Shock: Clinical Management, Outcomes and Future Directions.Journal of cardiovascular development and disease · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
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.

Rafael Vidal-PerezServicio de Cardiología, Unidad de Imagen y Función Cardíaca, Complexo Hospitalario Universitario A Coruña Centro de Investigación Biomédica en Red-Instituto de Salud Carlos III, A Coruña 15006, Spain. rafavidal@hotmail.com.
Julia GrapsaDepartment of Cardiology, Guys and St Thomas NHS Trust, London SE1 7EH, United Kingdom.
Alberto Bouzas-MosqueraServicio de Cardiología, Unidad de Imagen y Función Cardíaca, Complexo Hospitalario Universitario A Coruña Centro de Investigación Biomédica en Red-Instituto de Salud Carlos III, A Coruña 15006, Spain.
Ricardo Fontes-CarvalhoCardiology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vilanova de Gaia 4434-502, Portugal.
Jose Manuel Vazquez-RodriguezServicio de Cardiología, Complexo Hospitalario Universitario A Coruña, A Coruña 15006, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Echocardiography is an essential tool in diagnostic cardiology and is fundamental to clinical care. Artificial intelligence (AI) can help health care providers serving as a valuable diagnostic tool for physicians in the field of echocardiography specially on the automation of measurements and interpretation of results. In addition, it can help expand the capabilities of research and discover alternative pathways in medical management specially on prognostication. In this review article, we describe the current role and future perspectives of AI in echocardiography.

Indexed as

Artificial intelligenceDeep learningEchocardiographyMachine learningPrognosis

Identifiers

PMID37397831
PMCPMC10308270

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.