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As of June 2026, Unknown has users.

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Version
90-day change · In the last 90 days this extension 1 version update, changed permissions.

History

6 snapshots

Tracking since Apr 4, 2026.

5.243.51.7599999999999998Apr 4, 2026Jun 6, 2026
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DateUsersRatingReviewsVersion
Apr 4, 20261.2.0
Apr 17, 20261.2.0
Apr 23, 202651.3.0
Apr 28, 202631.3.0
May 5, 202631.3.0
May 11, 202621.3.0
Now

Changelog

  • May 11, 2026
    description
    AI-powered hanging protocol assistant 
                                                                                                                                                                                                        Detailed Description: 
    
    LUECI HP intelligently suggests and applies hanging protocols for your DICOM viewer using on-device AI.                                                                                                                                                              
      FEATURES
      • AI protocol matching based on modality, body part, priors, and monitor count
      • Custom protocol saving — create your own and they're available for future matching
      • Smart scoring — only high-confidence matches are suggested
      • On-device AI — no patient data leaves your browser
     
      COMING SOON
      • Report template suggestions
      • User preference learning per radiologist
      • Team protocol sharing & cloud sync
      • Worklist integration for pre-loaded protocols
     
      Your data stays on your machine.
    (empty)
  • May 11, 2026
    short_description
    AI-powered hanging protocol and multi-monitor viewer assistant
    (empty)
  • May 11, 2026
    name
    LUECI HP
    Unknown
  • May 11, 2026
    category
    productivity/tools
    (empty)
  • May 11, 2026
    host_permissions
    <all_urls>
    (empty)
  • May 11, 2026
    permissions
    storage, activeTab, scripting, tabs, system.display, nativeMessaging, webNavigation
    (empty)
  • Apr 17, 2026
    description
    LUECI HP is an intelligent hanging protocol assistant built for radiologists and imaging professionals. It integrates directly with your DICOM web viewer to automatically detect the
      current study and recommend the best display layout for your reading workflow.                                                                                                              
       
      What it does:                                                                                                                                                                               
                      
      - Detects study modality, body part, and description from your viewer in real time                                                                                                          
      - Recommends the optimal hanging protocol from a comprehensive built-in library covering MG, CR, CT, MR, US, NM, and more
      - Supports 1, 2, and 3+ monitor configurations — automatically adapts layouts to your workstation setup                                                                                     
      - Applies protocols directly to your viewer with one click or automatically on study load                                                                                                   
      - Includes prior study awareness — layouts adjust when comparison studies are available                                                                                                     
                                                                                                                                                                                                  
      AI-Powered Matching:                                                                                                                                                                        
                                                                                                                                                                                                  
      - Runs entirely local — no patient data leaves your machine                                                                                                                                 
      - Semantic search using on-device embeddings for intelligent protocol matching
      - Scores and ranks multiple candidate protocols so you always have alternatives                                                                                                             
      - Optional local Python backend for advanced inference                                                                                                                                      
                                                                                                                                                                                                  
      Built for Clinical Workflows:                                                                                                                                                               
                                                                                                                                                                                                  
      - Comprehensive protocol library with hundreds of hanging protocols across all major modalities                                                                                             
      - Radiology report template library (RSNA-based)
      - Worksheet capture and AI summarization                                                                                                                                                    
      - Audit logging for compliance tracking
      - Confidence scoring with radiologist approval gates                                                                                                                                        
                      
      Multi-Monitor Orchestration:                                                                                                                                                                
                      
      - Detects connected displays automatically                                                                                                                                                  
      - Coordinates study tabs across monitors
      - Manages study lifecycle — open, focus, and close tabs in sync
                                                                                                                                                                                                  
      LUECI HP saves radiologists time on every study by eliminating manual layout adjustments and ensuring the right protocol is applied from the start.
    AI-powered hanging protocol assistant 
                                                                                                                                                                                                        Detailed Description: 
    
    LUECI HP intelligently suggests and applies hanging protocols for your DICOM viewer using on-device AI.                                                                                                                                                              
      FEATURES
      • AI protocol matching based on modality, body part, priors, and monitor count
      • Custom protocol saving — create your own and they're available for future matching
      • Smart scoring — only high-confidence matches are suggested
      • On-device AI — no patient data leaves your browser
     
      COMING SOON
      • Report template suggestions
      • User preference learning per radiologist
      • Team protocol sharing & cloud sync
      • Worklist integration for pre-loaded protocols
     
      Your data stays on your machine.

Permissions & access

Permissions
None declared
Host access
None declared

Technical

Version
Manifest
Size
Min Chrome
Languages
0
Featured
No

Metadata

ID
lbmekmnmdcbfjlfdmeiegmfnpcaldflm
Developer ID
Developer Email
Created
Last Updated (Store)
Last Scraped
Jun 6, 2026
Website
Support URL
Privacy Policy

Data sourced from the Chrome Web Store · last verified Jun 6, 2026.