AI-Native PACS Modules
AI modules that plug into any PACS
Embed diagnostic AI directly into your existing PACS infrastructure. Deep URL launch, embeddable UI panels, and a full inference API — no rip-and-replace, just intelligence layered on top.
Installs Required
Uptime SLA
First Image Display
Core Capabilities
Cloud architecture, native AI, zero compromises
Cloud-Native Architecture
Built from the ground up for the cloud — no legacy code, no on-prem constraints. Elastic scaling, global availability, and zero-downtime upgrades.
AI-Integrated Viewer
AI results rendered directly into the diagnostic viewport. Heatmaps, annotations, and measurements appear inline — no separate AI panel or context-switch.
Smart Hanging Protocols
ML-driven hanging protocols that learn from your reading patterns. Automatically arranges priors, sequences, and reconstructions for each study type.
Voice Dictation + AI Assist
Integrated speech-to-text with AI-powered auto-complete and structured report generation. Dictate naturally while AI fills templates in real time.
Zero-Footprint Multi-Monitor
Full diagnostic-quality rendering in the browser across unlimited monitors. No plugins, no installs — works on any device with a modern browser.
Intelligent Worklist & Triage
AI-powered worklist that prioritizes studies by clinical urgency. Critical findings auto-escalated, routine cases batched for efficient throughput.
Architecture
Six layers of intelligent infrastructure
DICOM Engine
High-throughput DICOM receiver with DICOMweb and WADO-RS support. Handles C-STORE, C-FIND, and C-MOVE natively at thousands of studies per hour.
Rendering Pipeline
GPU-accelerated volumetric rendering with MPR, MIP, and 3D reconstruction. Streaming architecture delivers first image in under 500ms.
AI Inference Layer
Embedded inference engine runs PixelMD models and marketplace algorithms directly in the viewing pipeline. Results overlay in real time.
Cloud Storage
Multi-tier storage with hot, warm, and archive tiers. Automatic lifecycle management with vendor-neutral archive (VNA) compatibility.
Intelligent Routing
Rules-based and AI-driven study routing to the right radiologist at the right time. Subspecialty matching, load balancing, and SLA tracking.
Prior Prefetch
Predictive prior retrieval fetches relevant comparison studies before the radiologist opens the case. Reduces hanging time by up to 80%.
Integration Modes
AI-Native PACS modules for any infrastructure
Deploy as a standalone PACS or integrate PixelMD AI modules directly into your existing PACS infrastructure. Three integration paths — choose what fits your workflow.
Deep URL
Launch PixelMD AI viewer directly from your existing PACS worklist via URL. Pass study identifiers as parameters — the AI viewer opens with the study loaded, analyzed, and ready to read. No workflow disruption.
Embedded UI
Embed PixelMD AI panels and overlays directly inside your existing PACS viewer as iframes or web components. AI findings, heatmaps, and structured reports render inline without leaving your current interface.
FastAPI Backend
Connect your PACS to PixelMD inference via REST API. Send DICOM studies, receive structured AI reports with findings, classifications, and confidence scores. Full programmatic control for custom integrations.