Evidence map›Paper›PMID 40958063›Full record

ArticleJournal of imaging informatics in medicine2026

AtTheViewBox: Scrolling Past PowerPoints to a Novel Web-Based Solution for Interactive Case-Based Presentations.

Michael Fei, Dane Van Tassel, Ianto Xi, Vineeth Gangaram

Abstract read
In one paragraph

Article in Journal of imaging informatics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Michael FeiDepartment of Radiology, Creighton University School of Medicine, Phoenix, AZ, USA. mkf5512@creighton.edu.ORCID http://orcid.org/0009-0001-0576-2413
Dane Van TasselDepartment of Radiology, Creighton University School of Medicine, Phoenix, AZ, USA.
Ianto XiDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Vineeth GangaramDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional radiology education relies heavily on PowerPoint presentations with static 2D images, which fail to replicate the interactive nature of reading radiological studies at a workstation. There is a growing need for an interactive, case-based platform that enables real-time collaboration in presentations. This study introduces AtTheViewBox, a web-based application designed to integrate DICOM images into presentations, offering a more dynamic and interactive learning experience. AtTheViewBox was developed using open-source libraries, including React, CornerstoneJS, and Supabase. The application allows users to embed DICOM images in slide presentations via iframes, enabling standard functionalities at a radiology workstation like scrolling, zooming, and windowing. A survey was conducted among radiology residents and educators from four academic institutions to assess the utility and ease of use of AtTheViewBox compared to traditional teaching methods. Among 27 radiology residents surveyed, 100% agreed that AtTheViewBox would enhance their case-based learning experience, with 93% preferring it over static images or videos. Among 30 educators, the application received an average usefulness rating of 9.5/10. Additionally, 63% of educators found AtTheViewBox as easy or easier to use than their current methods. AtTheViewBox effectively modernizes radiology education by enabling interactive DICOM integration in presentations. This tool enhances learning by mimicking workstation experiences and fostering real-time collaboration. The overwhelmingly positive reception suggests that AtTheViewBox addresses key limitations in current teaching methodologies and has the potential to become a standard in radiology education.

Indexed as

Computer-Assisted InstructionInternetRadiologySoftwareUser-Computer InterfaceHumansInternship and ResidencyCase-based learningMedical educationVirtual learningWeb-based application

Identifiers

PMID40958063
PMCPMC13230392

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.