ReviewCureus2022
A Review of Core Concepts of Imaging Informatics.
Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Standardizing patient safety information for CT and MRI examinations: development of standard candidate items with HL7 FHIR mapping.Radiological physics and technology · 2026Article
- Full DICOM interoperability in a private dental imaging network: A 10-year longitudinal experience using open-source software.Imaging science in dentistry · 2026Article
- The Case for the Pediatric Cardiologist-Informaticist.Pediatric cardiology · 2026Review
- An introductory course to improve surgical core competencies of young hepatobiliary surgeon.BMC medical education · 2026Article
- The march to harmonized imaging standards for retinal imaging.Progress in retinal and eye research · 2025Review
- Five Things That Radiologists Can Do to Improve Their Technology Quotient.The Indian journal of radiology & imaging · 2024Article
- Human-Machine Collaboration in Diagnostics: Exploring the Synergy in Clinical Imaging with Artificial Intelligence.Diagnostics (Basel, Switzerland) · 2023Article
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
There are myriad systems and standards used in imaging informatics. Digital Imaging and Communications in Medicine (DICOM) is the standard for displaying, transferring, and storing medical images. Health Level Seven International (HL7) develops and maintains standards for exchanging, integrating, and sharing medical data. Picture archiving and communication system (PACS) serves as the health provider's primary tool for viewing and interpreting medical images. Medical imaging depends on the interoperability of several of these systems. From entering the order into the electronic medical record (EMR), several systems receive and share medical data, including the radiology information system (RIS) and hospital information system (HIS). After acquiring an image, transformations may be performed to better focus on a specific area. The workflow from entering the order to receiving the report depends on many systems. Having disaster recovery and business continuity procedures is important should any issues arise. This article intends to review these essential concepts of imaging informatics.
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.