ArticleDigital health
Global research landscape on artificial intelligence in echocardiography from 1997 to 2024: Bibliometric analysis.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Pediatric Echocardiographic Nomograms: Twenty Years of Advances-Do We Now Have a Complete and Reliable Tool, or Are Gaps Still Present? An Up-to-Date Review.Journal of clinical medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: With the widespread use of artificial intelligence (AI) in medical imaging, research on AI-powered echocardiography has gained increasing attention. However, a systematic study of global research trends and key developments in this area remains limited. The study aims to explore the current research hotspots of AI-driven echocardiography by bibliometric methods, providing data support and academic insights for future research. Methods: The Web of Science Core Collection database was utilized to search articles in this area from 1997 to 2024. The filtered data were analyzed and visualized by VOSviewer and CiteSpace software. Results: In total, 605 documents were involved, since 2020, there has been an exponential increase in the publications. The United States held the top position in both the volume of publications and citation counts. And the top organization in citations was Stanford University. Three authors with the most publications were Lovstakken Lasse, Ouyang David, and Sengupta Partho P. The journal with the most citations was the Conclusion: Research on the application of AI in echocardiography is currently flourishing, with broad prospects. In the future, it is crucial to promote interdisciplinary collaboration on an international scale, especially between countries and research institutions. Future research will focus on developing large language models that can integrate multimodal information, while also addressing key issues such as improving model interpretability.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.