ReviewRadiographics : a review publication of the Radiological Society of North America, Inc
Multimedia-enhanced Radiology Reports: Concept, Components, and Challenges.
Review in Radiographics : a review publication of the Radiological Society of North America, Inc. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- DEXA Result Automation into Radiology Reports: An Implementation Guide for Radiologists, PACS Administrators, and Technicians.Journal of imaging informatics in medicine · 2025Article
- Correlation Aware Relevance-Based Semantic Index for Clinical Big Data Repository.Journal of imaging informatics in medicine · 2024Article
- Patient Engagement in Neuroradiology: A Narrative Review and Case Studies.AJNR. American journal of neuroradiology · 2024Review
- Implementation of structured reporting in clinical routine: a review of 7 years of institutional experience.Insights into imaging · 2023Article
- Artificial intelligence in neuroradiology: a scoping review of some ethical challenges.Frontiers in radiology · 2023Article
- Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper.Journal of digital imaging · 2022Article
- Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper.Journal of digital imaging · 2021Review
- Preparing Medical Imaging Data for Machine Learning.Radiology · 2020Article
- Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence.Academic radiology · 2020Article
- Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.Journal of digital imaging · 2019Article
- Towards More Structure: Comparing TNM Staging Completeness and Processing Time of Text-Based Reports versus Fully Segmented and Annotated PET/CT Data of Non-Small-Cell Lung Cancer.Contrast media & molecular imaging · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multimedia-enhanced radiology report (MERR) development is defined and described from an informatics perspective, in which the MERR is seen as a superior information-communicating entity. Recent technical advances, such as the hyperlinking of report text directly to annotated images, improve MERR information content and accessibility compared with text-only reports. The MERR is analyzed by its components, which include hypertext, tables, graphs, embedded images, and their interconnections. The authors highlight the advantages of each component for improving the radiologist's communication of report content information and the user's ability to extract information. Requirements for MERR implementation (eg, integration of picture archiving and communication systems, radiology information systems, and electronic medical record systems) and the authors' initial experiences and challenges in MERR implementation at the National Institutes of Health are reviewed. The transition to MERRs has provided advantages over use of traditional text-only radiology reports because of the capacity to include hyperlinked report text that directs clinicians to image annotations, images, tables, and graphs. A framework is provided for thinking about the MERR from the user's perspective. Additional applications of emerging technologies (eg, artificial intelligence and machine learning) are described in the crafting of what the authors believe is the radiology report of the future.
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.