ReviewJournal of robotic surgery2025
Artificial intelligence and digital health in vascular surgery: a 2-decade bibliometric analysis of research landscapes and evolving frontiers.
Review in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
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
2 citing papers in PubMed.
- Bibliometric and knowledge-map analysis of research on robot-assisted vascular interventional surgery (2015-2025).Journal of robotic surgery · 2026Article
- Abdominal Aortic Aneurysm Pathomechanics, Current Understanding and Emerging Directions: A Perspective for 2025 and Beyond.Advances in experimental medicine and biology · 2026Review
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
To analyze the structural and temporal evolution of artificial intelligence (AI) and digital health applications in vascular surgery over the past two decades, identifying historical development trajectories, research focal points, and emerging frontiers. Publications on AI and digital health applications in vascular surgery were retrieved from WoSCC. Analyzed through CiteSpace and HistCite to track temporal development, thematic shifts, and innovation patterns within the domain. Active themes have emerged over time, with 123 related disciplines, 505 keywords, and 675 outbreak papers cited. Keyword clustering anchors seven emerging research subfields, namely #0 deep learning, #2 machine learning, #3 peripheral arterial disease, #4 renal cell carcinoma, #5 aortic aneurysm, #6 pulmonary embolism, #7nanocarrier. The alluvial map indicates that the most enduring research concepts within the domain include bypass, revascularisation, and others, while emerging keywords consist of chronic limb-threatening ischemia and peripheral vascular intervention, among others. Reference clustering identifies seven recent subfields of research: nephrectomy #0, force #1, artificial intelligence #2, navigation #4, prediction #5, augmented reality #9, and telemedicine #13. This study provides a comprehensive mapping of AI and digital health adoption in vascular surgery, delineating paradigm shifts from traditional surgical techniques to computational prediction models and intelligent intervention systems. The findings establish foundational references for prioritizing research investments and developing standardized evaluation metrics for emerging technologies.
Indexed as
Identifiers
40767924What OpenQuestion 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 OpenQuestion graph.