Data Import

The Data Import tab in Gesund.ai’s Data Hub allows you to ingest files from cloud storage (e.g., S3 buckets) into the platform for exploration, annotation, and AI workflows.

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1. Import List View

This page lists all previous import tasks, including:

• Name of the import
• User who triggered it
• Source Path (bucket + folder)
• Tags and Source Tags
• Progress (Done / Total)
• Study Count
• Status (Completed, Failed, etc.)
• Date of import

You can expand each record to view:

• Imported file list
• File-level status
• DICOM metadata (UIDs, modality, etc.)
• File size and timestamps

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2. How to Start a New Import

To add new data into the system:

1. Click New Data Import.

2. Fill out the form:

   Field	Description
   Name	A label for this import
   Source Type	Set to Cloud
   Cloud Source	Choose from registered S3 buckets
   Path	Folder path inside the bucket (e.g., /studies)
   Move Files	Move instead of copy (optional)
   Tags	Add searchable labels
   Source Tags	Additional context from source
   Extension Filter	Limit import by file type (e.g., .dcm)
   Access	Set visibility as Public or Private

3. Click Import to begin the process.

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3. Monitoring Progress

• Track status from the list view.
• The Done / Total column shows real-time progress.
• You can re-open any import to inspect file statuses and any errors.

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Notes

• Only registered cloud sources (via the Cloud Source tab) are available.
• Duplicate files are skipped automatically.
• Once imported, studies become available for tagging, dataset creation, and downstream tasks.