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CognusOps Medical Wing

Imaging & Workflow Intelligence

Engineering driven by the Forward-Deployed Engineering (FDE) methodology. We deliver vendor-agnostic, clinically safe, real-time AI-assisted workflow solutions for Endoscopy, Laparoscopy, and Radiology (CT/MRI).

Our Clinical
Mission

To combine endoscopic video, surgical context, and radiology imaging to optimize outcomes, throughput, and the clinician experience.

EHR & Multi-Modality Integration

We fuse temporal and spatial info from endoscopic video, radiologic imaging, and EHR metadata to support advanced interventional workflows.

Patient Sync & Alignment

FHIR-based patient/context lookup and DICOM-RT coordinate transforms to overlay radiology findings on live endoscopic views.

Secure Ingestion & Agents

Capture RTSP/WebRTC streams into DICOM SC/VNA. GenAI agents summarize history and draft structured reports.

Clinical Applications

Core Focus Streams

Endoscopy & Laparoscopy

Real-time constraints met with low-latency inference. Multi-stream synchronization combining video, instrument telemetry, and patient vitals.

Workflow Optimization

End-to-end efficiency: pre-op planning, OR setup, structured procedure logging, automated documentation, and OR throughput KPIs.

AI Decision Support

Computer Vision via CADe (detection) + CADx (diagnosis) on rigid/flexible endoscopes. Supports polyp detection, surgical phase recognition, and risk alerts.

Radiology Excellence

Optimizing interventional workflows across CT, MRI, Ultrasound, and Fluoroscopy modalities for interventional radiology (IR).

Interventional Workflows

Enabling pre-procedural planning, live image guidance, registration with endoscopy/OR feeds, and post-procedure reconstruction.

Agentic & GenAI Layers

Embedded directly inside DICOM/PACS/FHIR infrastructure. Delivers contextual assistants for radiologists, case triage, and automated structured reporting.

The Blueprint

Technical Architecture & Stack

Data & Ingestion

  • • Video-over-IP/SDI capture adapters
  • • DICOM ingestion & anonymization
  • • Frame/temporal annotation pipelines

Model & Infra

  • • PyTorch/ONNX/TensorRT inference
  • • Edge inference on NVIDIA Jetson/RTX
  • • K8s Orchestration & DVC versioning

Integration Tools

  • • Orthanc, pydicom, HAPI-FHIR
  • • LangChain, MedPaLM/OpenAI APIs
  • • Prometheus/Grafana monitoring

Security & Regulatory

HIPAA compliant data governance, encryption, and role-based access. Design controls adhere to IEC 62304 and ISO 14971 risk management, preparing for FDA SaMD pathways.

Explainability & Human-in-the-Loop

Validation Metrics

Tracking clinical KPIs (Sensitivity, Specificity, AUC) against operational KPIs (Inference latency, OR turnover time, Reduction in manual charting).

Methodology

Forward-Deployed Engineering (FDE)

  • 01

    Embed engineers clinically: short cycles in clinical environments, direct feedback from clinicians.

  • 02

    Rapid prototyping in controlled clinical pilots → evaluate safety & efficacy → iterate.

  • 03

    Continuous validation using automated test suites and synthetic video simulators.

Decision Support Options

  • Prototype data capture in one OR and one IR suite (implement adapter, store to Orthanc, run CADe demo).
  • Set up clinical advisory board and regulatory counsel.
  • Define metrics and monitoring dashboards for pilots.