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Journal of Digital Imaging

Journal of Digital Imaging OnlineFirst articles


Automated Radiology Report Summarization Using an Open-Source Natural Language Processing Pipeline

Diagnostic radiologists are expected to review and assimilate findings from prior studies when constructing their overall assessment of the current study. Radiology information systems facilitate this process by presenting the radiologist with a …


Review of UBC Radiology Teaching App

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Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports

A significant volume of medical data remains unstructured. Natural language processing (NLP) and machine learning (ML) techniques have shown to successfully extract insights from radiology reports. However, the codependent effects of NLP and ML in …

25.10.2017 | App Review

App Review: Management Guide for Incidental Findings on CT and MRI

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An Efficient Pipeline for Abdomen Segmentation in CT Images

Computed tomography (CT) scans usually include some disadvantages due to the nature of the imaging procedure, and these handicaps prevent accurate abdomen segmentation. Discontinuous abdomen edges, bed section of CT, patient information, closeness …

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Über diese Zeitschrift

The Journal of Digital Imaging (JDI) is the official peer-reviewed journal of the Society for Imaging Informatics in Medicine (SIIM). JDI's goal is to enhance the exchange of knowledge encompassed by the general topic of Imaging Informatics in Medicine including, but not limited to, research and practice in clinical, engineering, information technologies and techniques in all medical imaging environments.

Topics of interest to the readers of JDI include the following as they pertain to the acquisition, storage, retrieval and use of imaging information in healthcare to efficiently and effectively improve access and quality:

  • PACS and component systems
  • Imaging informatics for the enterprise
  • Image-enabled electronic medical records
  • Integrating mobile technologies
  • RIS, HIS and other clinical information systems
  • Digital image acquisition, transmission, storage, display and interpretation
  • 3D (e.g. printing, modeling, display)
  • SIIM Workflow Initiative in Medicine (SWIM)
  • DICOM and other standards
  • IHE
  • Imaging vocabularies and ontologies
  • Analytics
  • Workflow and process modeling and simulation
  • Protocolling and appropriateness
  • Structured reporting
  • Speech recognition
  • Content-based image retrieval
  • Meaningful use and legislative issues
  • Decision support
  • Radiation dose management
  • Teleradiology
  • Archiving and information lifecycle management
  • Network integrity and data security
  • Multimedia
  • Facilities design
  • Project management
  • Quality assurance
  • Online learning
  • Imaging informatics education

Papers that report on validation and implementation of informatics technologies and tools will be given precedence over papers that simply describe image processing algorithms, stand-alone evaluation of image analysis tools, and/or technology descriptions without validation or implementation.

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