ReviewCardiovascular and interventional radiology2025
Teaching Strategies in Interventional Radiology: A Narrative Review of the Literature.
Review in Cardiovascular and interventional radiology, 2025. 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.
- Association of AI-Assisted Training with Learning Outcomes in Lung Cancer Puncture Ablation: A Retrospective Before-and-After Study.Advances in medical education and practice · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionInterventional radiology (IR) is a rapidly developing speciality where innovation-especially in teaching practices-is vital. With workforce and capacity shortages, synthesis of classical educational theories and novel strategies utilising virtual reality (VR) and artificial intelligence (AI) provide opportunities to make teaching as efficient and effective as possible. The aim of this review is to examine the literature on different approaches in IR teaching and learning in undergraduates and postgraduates.
methodsLiterature was reviewed using a comprehensive search strategy with relevant keywords. Articles were limited to 2013-2023. Databases searched included MEDLINE, Embase, British Education Index and ERIC, in addition to a manual review of references.
resultsOf the 2903 unique abstracts reviewed by the authors, 43 were relevant to the purpose of this study. The major pedagogical approaches identified were categorised into the following-traditional master-apprentice mentoring, virtual reality/simulation, physical models, and remote teaching. VR simulations enable practise free from the limits of time and risk to patients, as well as potential for standardised formal curricula. AI has the capability to enhance training simulations and assessment of trainees. With recent events necessitating innovation in online remote teaching, programs that are accessible whilst arguably imparting just as much clinical knowledge as in-person education have now been developed.
conclusionMentoring has conventionally been the standard for radiology teaching, however there are now several alternative pedagogical approaches available to the IR community. A combination of the most effective ideas within each is the optimal method by which IR should be taught.
Indexed as
Identifiers
What 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.