Local image analysis in patient care
Patient data processing with local vision models: disease symptoms are detected on photos directly on site — sensitive health data stays entirely within the facility.
The challenge
A healthcare facility wants to use patient photos for findings documentation, but must not send sensitive health and patient data to external cloud services under any circumstances.
How the stack solves it
Presidio first strips all direct patient identifiers from the image locally, then a local vision model on GPUStack + llama.cpp analyzes the shot for visible symptoms. A medical professional reviews and confirms the finding — the AI does the what, the human decides the how. No photo ever leaves the facility.
How the components work together
The result
The preliminary analysis takes work off the clinical staff's hands during findings documentation — patient data stays entirely within the facility's own infrastructure.
Something like this for your company?
Describe your case in the use-case finder, or talk to us about an implementation in the configurator.