Study routing and reporting
Coordinates end-to-end diagnostic workflows across multiple sites, connecting study distribution, interpretation, and reporting within one platform.
Medical imaging workflows, image-viewer tools, and AI report assistance for radiology teams.
Eden provides medical imaging software for radiologists and healthcare institutions. Its Diagnostic OS coordinates how studies are routed, read, and reported across sites, while the imaging viewer supports reconstruction, side-by-side reading, and clinical image post-processing. Eden PACS supports report-assistance actions alongside the imaging workflow.
AI writing actions help refine report language and compose Impression or Conclusion sections from documented findings. They support a professional radiology workflow: the radiologist remains the author and final reviewer. Imaging tools and generated text should be reviewed in the clinical context, not treated as an autonomous diagnosis or a guarantee of accuracy.
Coordinates end-to-end diagnostic workflows across multiple sites, connecting study distribution, interpretation, and reporting within one platform.
Report Refinement assists with grammar, terminology, punctuation, and readability. Impression Generation composes an Impression or Conclusion from documented findings; the radiologist authors and reviews the resulting report.
Oblique multiplanar reconstruction in the main 2D viewer lets radiologists adjust reconstruction planes to match patient anatomy, including tilted heads or rotated spines.
Cross-window drag and drop moves a series into another window without finding and reloading it, supporting multi-monitor and side-by-side interpretation.
Interactive 3D Clipping removes selected portions of a volume rendering. Automatic CT table removal produces cleaner multiplanar and 3D reconstructions.
Density, Edges, and Micro-detail filters support targeted re-evaluation of full-field digital mammography and digital breast tomosynthesis studies within the workstation.
Bring hospital departments with different technology histories into a shared radiology workflow. Eden documents this kind of consolidation at Grupo Dalinde San Ángel Inn.
Coordinate hospital and remote reading teams on a common platform, as described in Eden's Dasa and Lumiax implementation.
Organize imaging operations across a branch network, as described in Eden's PROA deployment.
Refine dictated report language and synthesize a conclusion from recorded findings, with the radiologist responsible for the final interpretation and review.
Eden’s Hospital Metropolitano case study describes a technology layer integrated with internal systems without replacing the systems already in use.
Yes. Eden describes a PET-CT fusion viewer for displaying metabolic findings on CT images, along with a capability to send PET-CT segmentations to reports.
Its voice dictation module includes optimizations intended to reduce the impact of ambient noise on transcription.
No. Eden's report-assistance documentation says the radiologist remains the author and final reviewer. Report Refinement is a writing and formatting task; Impression Generation synthesizes documented findings. Review the output against the study and clinical context before using the report.
トラフィックデータは参考情報としてご利用ください。
lunit.io
Medical AI for cancer screening, imaging analysis, and precision oncology research.
compliantchatgpt.com
医療チームと臨床医向けのHIPAA準拠AIアシスタント。医療記録作成、ノート下書き、ファイル分析、開発者APIワークフローに対応し、PHIを匿名化します。
ctread.com
X線、CT、MRI、超音波画像をAIが解析し、医療関係者でない方にもわかりやすい言葉で結果を説明する医用画像解析ツール。一般的な画像形式とDICOMに対応し、クレジット制で詳細レポートを利用できます。