# Eden Medical imaging workflows, image-viewer tools, and AI report assistance for radiology teams. - Findings24: - Site: - Categorias: Assistentes de saúde com IA ## O que é Eden? 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. ## O que Eden pode fazer? ### Study routing and reporting Coordinates end-to-end diagnostic workflows across multiple sites, connecting study distribution, interpretation, and reporting within one platform. ### AI report assistance 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. ### Anatomically aligned image reconstruction Oblique multiplanar reconstruction in the main 2D viewer lets radiologists adjust reconstruction planes to match patient anatomy, including tilted heads or rotated spines. ### Multi-window reading Cross-window drag and drop moves a series into another window without finding and reloading it, supporting multi-monitor and side-by-side interpretation. ### 3D visualization tools Interactive 3D Clipping removes selected portions of a volume rendering. Automatic CT table removal produces cleaner multiplanar and 3D reconstructions. ### Mammography post-processing Density, Edges, and Micro-detail filters support targeted re-evaluation of full-field digital mammography and digital breast tomosynthesis studies within the workstation. ## Casos de uso ### Consolidating hospital imaging departments Bring hospital departments with different technology histories into a shared radiology workflow. Eden documents this kind of consolidation at Grupo Dalinde San Ángel Inn. ### Supporting distributed teleradiology Coordinate hospital and remote reading teams on a common platform, as described in Eden's Dasa and Lumiax implementation. ### Running outpatient diagnostic networks Organize imaging operations across a branch network, as described in Eden's PROA deployment. ### Preparing radiology reports Refine dictated report language and synthesize a conclusion from recorded findings, with the radiologist responsible for the final interpretation and review. ## Perguntas frequentes ### Can Eden work alongside existing hospital systems? Eden’s Hospital Metropolitano case study describes a technology layer integrated with internal systems without replacing the systems already in use. ### Does Eden support PET-CT interpretation? 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. ### How does Eden support voice dictation in busy clinical environments? Its voice dictation module includes optimizations intended to reduce the impact of ambient noise on transcription. ### Does the AI report assistant replace the radiologist? 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. ## Informações rápidas - **Product category**: Medical imaging software and radiology workflows - **Primary users**: Radiologists, nuclear medicine physicians, and imaging operations teams - **Workflow**: Study routing, image review, reconstruction, and report preparation - **AI writing inputs**: Existing reports and documented findings - **AI writing outputs**: Refined report text and Impression or Conclusion drafts - **Clinical responsibility**: Radiologist authorship and final review