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Health & Medical imaging

Encrypted PACS/DICOM + diagnostic AI

FPGA encrypts DICOM streams, CPU orchestrates HDS patient access, GPU runs segmentation/classification AI inference.

FPGA

DICOM encryption + anonymization

Workloads
  • Encrypted DICOM Store / Query
  • Inline de-identification
  • JPEG2000 transcoding
Performance
10 Gbps imaging
CPU

HDS + FHIR orchestration

Workloads
  • Patient identity vigilance
  • Encrypted FHIR R4 API
  • HDS journal
Performance
1 k requests / s
GPU

Diagnostic AI

Workloads
  • Tumor segmentation (nnU-Net)
  • Pathology classification
  • Radiomic feature extraction
Performance
< 30 s per CT study

Multi-agent scenario

A CT scan arrives encrypted from the hospital: FPGA decrypts and anonymizes, CPU verifies patient consent, GPU segments the tumor and returns the re-encrypted AI report to the radiologist.