
Image workflow · Amazon S3
Associate imagery and report files with the patient and visit they belong to.
A clear path from patient imagery to structured observations, with clinical context carried through the workflow.

The documented architecture uses Amazon EC2 for the application, S3 for imagery and reports, SageMaker for model inference and RDS PostgreSQL for structured records.
The diagram is a high-level product architecture, not a live infrastructure audit or a certification statement.


Associate imagery and report files with the patient and visit they belong to.

Host the image-analysis model and return observations for professional review.

Connect visit history, notes and observations in PostgreSQL records.

Bring the image and record workflows together in a browser-based workspace.
Image quality, framing and patient history can affect interpretation. Zyvreno presents analysis as assistance. Practitioners review observations alongside the examination and retain responsibility for clinical decisions.

A cloud architecture designed around connected clinical records, controlled access and responsible data handling.
Infrastructure shown reflects the architecture documented in the existing project. Contact our team to review current deployment details.
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