ArticleJournal of digital imaging2021
The Time Has Come: a Paradigm Shift in Diagnostic Radiology Education via Simulation Training.
Article in Journal of digital imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 15 citations in OpenAlex.
- Improving lesion detection skills in medical imaging education through enhanced peripheral visual perception.Scientific reports · 2025Article
- Review
- The status of virtual simulation experiments in medical education in China: based on the national virtual simulation experiment teaching Center (iLAB-X).Medical education online · 2023Article
- Artificial CT images can enhance variation of case images in diagnostic radiology skills training.Insights into imaging · 2023Article
- Responsive Web-based Breast Imaging Core Curriculum for International Radiology Residents with Self-Assessment: A Pilot Study.Academic radiology · 2022Article
- Virtual Simulation in Undergraduate Medical Education: A Scoping Review of Recent Practice.Frontiers in medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current radiology training for medical students and residents predominantly consists of reviewing teaching files, attending lectures, reading textbooks and online sources, as well as one-on-one teaching at the workstation. In the case of medical schools, radiology training is quite passive. In addition, the variety of important and high-yield cases that trainees are exposed to may be limited in scope. We utilized an open-source dcm4chee-based Picture Archiving and Communication System (PACS) named "Weasis" in order to simulate a radiologist's practice in the real world, using anonymized report-free complete cases that could easily be uploaded live during read-outs for training purposes. MySQL was used for database management and JBOSS as application server. In addition, we integrated Weasis into a web-based reporting system through Java programming language using the MyEclipse development environment. A freeware, platform-independent, image database was established to simulate a real-world PACS. The sever was implemented on a dedicated non-workstation PC connected to the hospital secure network. As the client access is through a webpage, the cases can be viewed from any computer connected to the hospital network. The reporting system allows for evaluation purposes and providing feedback to the trainees. Brief survey results are available. Implementation of such a low-cost, versatile, and customizable tool provides a new opportunity for training programs in offering medical students with an active and more realistic radiology experience, junior radiology residents with potentially better preparation for independent call, and senior resident and fellows with the ability to fine-tune high-level specialty-level knowledge.
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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.