ArticleJCO clinical cancer informatics2020
Open Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research.
Article in JCO clinical cancer informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 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
45 citing papers in PubMed.
- In search of truth: evaluating concordance of AI-based anatomy segmentation models.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Instant3D: A Lightweight Open-Source GUI Frontend for TotalSegmentator-Based Medical Image Segmentation and 3D Reconstruction.Journal of imaging informatics in medicine · 2026Article
- Improving membranous urethral length measurements on prostate MRI: a comparison of online training methods.European radiology · 2026Article
- Bridging the AI chasm in oncology: a standardized platform to enable the in silico clinical validation of AI models within the CHAIMELEON Project.European radiology experimental · 2026Article
- MHub.ai: A Standardized Platform for Reproducible AI Research in Medical Imaging.Research square · 2026Article
- Report on the 2025 DICOM WSI Connectathon.Journal of pathology informatics · 2026Article
- PARADIM: A Platform to Support Research at the Interface of Data Science and Medical Imaging.Journal of imaging informatics in medicine · 2026Article
- Advancing MRI diagnostic practices in rectal cancer: exploring the impact of web-based multi-reader study participation.Abdominal radiology (New York) · 2026Article
- Comparison of observed image quality and technical image quality parameters in 3D-FLAIR images.Magma (New York, N.Y.) · 2026Article
- A Framework for Cross-Domain Generalization in Coronary Artery Calcium Scoring Across Gated and Non-Gated Computed Tomography.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- Impact of pre-segmented regions on CT-based evaluation of the Peritoneal Cancer Index: A reader study.PloS one · 2026Article
- An open-source JavaScript clinical neurophysiology library for education and clinical research.Clinical neurophysiology practice · 2026Article
- Evaluating the impact of AI assistance on decision-making in emergency doctors interpreting chest X-rays: a multi-reader multi-case study.Emergency medicine journal : EMJ · 2025Article
- Informatics at the Frontier of Cancer Research.Cancer research · 2025Review
- MIDAS: a technology-enabled hub-and-spoke system for the collection and dissemination of high-quality medical datasets in India.BMC medical informatics and decision making · 2025Article
- Web-Based DICOM Viewers: A Survey and a Performance Classification.Journal of imaging informatics in medicine · 2025Article
- Classification and segmentation of hip fractures in x-rays: highlighting fracture regions for interpretable diagnosis.Insights into imaging · 2025Article
- An institutional framework to support ethical fair and equitable artificial intelligence augmented care.NPJ digital medicine · 2025Article
- Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Development and Validation Study.JMIR medical informatics · 2024Article
- Development of a Secure Web-Based Medical Imaging Analysis Platform: The AWESOMME Project.Journal of imaging informatics in medicine · 2024Article
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
Abstract
purposeZero-footprint Web architecture enables imaging applications to be deployed on premise or in the cloud without requiring installation of custom software on the user's computer. Benefits include decreased costs and information technology support requirements, as well as improved accessibility across sites. The Open Health Imaging Foundation (OHIF) Viewer is an extensible platform developed to leverage these benefits and address the demand for open-source Web-based imaging applications. The platform can be modified to support site-specific workflows and accommodate evolving research requirements. MATERIALS AND
methodsThe OHIF Viewer provides basic image review functionality (eg, image manipulation and measurement) as well as advanced visualization (eg, multiplanar reformatting). It is written as a client-only, single-page Web application that can easily be embedded into third-party applications or hosted as a standalone Web site. The platform provides extension points for software developers to include custom tools and adapt the system for their workflows. It is standards compliant and relies on DICOMweb for data exchange and OpenID Connect for authentication, but it can be configured to use any data source or authentication flow. Additionally, the user interface components are provided in a standalone component library so that developers can create custom extensions.
resultsThe OHIF Viewer and its underlying components have been widely adopted and integrated into multiple clinical research platforms (e,g Precision Imaging Metrics, XNAT, LabCAS, ISB-CGC) and commercial applications (eg, Osirix). It has also been used to build custom imaging applications (eg, ProstateCancer.ai, Crowds Cure Cancer [presented as a case study]).
conclusionThe OHIF Viewer provides a flexible framework for building applications to support imaging research. Its adoption could reduce redundancies in software development for National Cancer Institute-funded projects, including Informatics Technology for Cancer Research and the Quantitative Imaging Network.
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.