Stroke workflow
Flags suspected large-vessel occlusion on CTA and moves it up the neuro worklist.
Clinical Intelligence Agent
Diagnostic Imaging AI
An imaging agent that reads incoming DICOM studies, flags suspected findings, and re-orders the radiology worklist so time-critical cases surface first — every flag confirmed by a radiologist.
Radiologist-confirmedAssistive, not autonomousDICOMAudit Logged
Trusted by global innovators
The manual burden today
Radiology worklists are usually first-in, first-out, so a suspected intracranial hemorrhage or large-vessel occlusion can sit behind dozens of routine studies while minutes matter. The agent triages the queue instead of replacing the read: as studies arrive it runs detection models on the pixel data, flags suspected findings, and moves likely-urgent cases to the top. The radiologist reads and confirms every study; the agent is assistive, not autonomous, built with FDA SaMD considerations so cleared models stay within their intended use.
Architecture
See how the imaging agent sits between the modality, PACS, and reading worklist, with model inference, priority routing, and audit trail as first-class layers.
Key Capabilities
Detection and prioritization on the pixel data, surfaced to the radiologist, never substituting for the read.
Detection on DICOM
Runs cleared or validated models on DICOM pixel data for target findings — intracranial hemorrhage, pulmonary embolism, pneumothorax, large-vessel occlusion.
Worklist prioritization
Re-orders the worklist so suspected time-critical studies surface first, routing STAT findings to the right subspecialty queue or on-call reader.
DICOM & PACS native
Ingests via DICOM C-STORE / DICOMweb (STOW-RS, QIDO-RS), writes GSPS overlays, and updates worklist priority over HL7 v2 or FHIR ImagingStudy.
FDA SaMD awareness
Deploys cleared devices within their intended use with human oversight, logging model version and intended-use scope for every study.
Where it runs
Deployment scenarios
ED head CT triage
Prioritizes suspected intracranial hemorrhage ahead of routine studies.
Chest CT for PE
Detects suspected pulmonary embolism and routes it with a marked region.
Chest X-ray screening
Flags suspected pneumothorax for expedited review in high-volume queues.
Expected impact
Directional — depends on modality mix and worklist volume.
Faster
Time-to-read on flagged time-critical studies
100%
Studies still read and confirmed by a radiologist
Per-study
Model version and intended use logged for audit
Compliance-First Healthcare App Development Services Backed by Global Standards
15-Minute Scoping Call01
HIPAA
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
02
GDPR
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.
03
FHIR
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs.
04
HL7
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
05
HITRUST
Health Information Trust Alliance
Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.
06
HITECH
Health Information Technology for Economic and Clinical Health Act
Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.
07
SaMD
FDA Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.
08
MDR (EU)
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
09
SAMHSA
Substance Abuse and Mental Health Services Administration
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.
Standards we build against
Standards & interoperability
DICOMFHIRHL7HIPAAFDA
How It Works
From modality to a triaged worklist
The study is captured from PACS, inference runs with guardrails, priority is surfaced to the radiologist, and the confirmed result is written back with an audit trail.
1.
Capture — DICOM study arrives
The modality or PACS sends the study via C-STORE or DICOMweb; the agent picks it up and matches it to the reading worklist.
DICOM / DICOMweb
2.
Processing — detection + guardrails
Validated models run on the pixel data within their intended use; low-confidence results are held for the standard read, and model version is recorded.
Assistive inference
3.
Action — prioritize + notify
Suspected time-critical studies move to the top of the worklist with a marked region; STAT findings can notify the on-call reader.
Worklist triage
4.
Write-back — confirmed result + audit
The radiologist confirms or overrides, and the final read, AI flag, model version, and confirmation are logged to an immutable audit trail and reflected in the RIS/EHR.
Radiologist-confirmed
Related proof
Read Case StudyLera Health: compliant women's health platform
Related proof of compliant, AI-assisted delivery — not this exact agent. Lera Health shows how we build privacy-first clinical data pipelines and compliant AI workflows.
Compliance & Guardrails
15-Minute Scoping CallBuilt for the reading room, not around it
Imaging AI is regulated. The guardrails and the human read are the point.
PHI handling
DICOM studies and PHI stay inside your compliance boundary under a BAA, encrypted end to end.
Radiologist-in-the-loop
The agent triages and marks; the radiologist reads and confirms. AI output is a secondary aid, never the final diagnosis of record.
Explainability
Every flag shows the marked region and links to the study.
Audit logging
Model version, intended-use scope, flag, and radiologist confirmation are logged immutably per study for regulators and QA.
Frequently Asked Questions
Yes — studies and PHI stay inside your compliance boundary under a BAA, encrypted throughout, with model version and radiologist confirmation logged per study.
Ready to triage the worklist, safely?
Tell us your target findings and PACS/RIS setup. We'll return an architecture review and a phased plan with silent-validation milestones.
contact@agnotic.com
Partnerships
contact@agnotic.com