Re-Imagining Diagnostics

AI Foundation Models
For Radiology

Futuuri interprets raw diagnostic pixels and generates structured, hospital-grade reports in seconds. Built to resolve the global radiologist shortage, enhance clinical accuracy, and eliminate manual bottlenecks.

Diagnostic Verticals

Specialized deep foundation models engineered for targeted medical domains

Futuuri ChestX

High-volume automated chest radiograph screening. Performs instant triage of normal exams and triggers immediate clinical alerts for critical findings (pneumothorax, pleural effusion, acute consolidations) with high AUROC.

92.4% sensitivity STAT alert triage

Futuuri DentalX

Comprehensive 2D panorex and 3D CBCT diagnostic suite. Detects carries, periapical radiolucencies, bone loss, and nerve canal proximities, providing dentists and large DSOs with high-speed automated treatment planning structures.

3D CBCT voxel mapping DSO scaling ready

Futuuri OrthoX

Automated skeletal and trauma analysis. Quickly detects complex bone fractures, joint osteoarthritis progressions, and bone density changes, simplifying orthopedic surgical planning with millimetric measurements and overlays.

Trauma fracture triage Millimetric measures

The 30-Second Workflow

Our seamless, high-speed pipeline converting raw imaging pixels into structured medical records

Phase 01 - Secure Ingestion

Zero-touch PACS Integration

Studies are captured in real-time straight from PACS, RIS, or imaging devices using encrypted DICOM / HL7 channels. A local secure proxy performs fully automated, zero-touch PHI scrubbing, completely stripping patient-identifiable data before uploading.

DICOM Router: LISTENING PHI Scrubbing: ACTIVE
Futuuri Gateway Router
[PACS] Connected to orthox-modality-1...
[INCOMING] Study Received: CR-CHEST-984A1
[SCRUBBING] Masking patient tags (0010,0010)...
[OK] Study packet sanitized and routed in 1.4ms.
Phase 02 - Neural Processing

Sub-Voxel Pixel Interpretation

Futuuri's radiology foundation models execute single-pass pixel and voxel analysis. The model evaluates tissues, locates structural abnormalities, registers density discrepancies, and computes highly calibrated local confidence coordinates.

Model: CXR-Foundation-V2 AUROC: 0.941
Model Diagnostics
Confidence: 94.2% Left Pleural Effusion
Phase 03 - LLM Generation

Structured Clinical Drafts

Our LLM-native reporting engine converts localized confidence coordinates and findings directly into a complete, structured, and editable clinical report. Standardized templates are pre-filled in accordance with RADS structures, saving hours of dictation.

LLM: Medical-Llama-70B Drafting Speed: <2s
Autodraft Editor

EXAM: CHEST 2 VIEW

FINDINGS:

There is a moderate pleural effusion in the left lung base. No evidence of pneumothorax. Cardiomediastinal silhouette is stable. Calcified pleural plaques are noted along the left diaphragmatic dome.

IMPRESSION:

1. LEFT PLEURAL EFFUSION - STAT NOTIFICATION ROUTED.

Phase 04 - PACS Commitment

Immediate Healthcare Action

The pre-filled report is delivered back to PACS/RIS/EMR systems (such as Epic or Kanta) with a single click. Critical/STAT reports bypass the reading queues to deliver immediate push notifications to on-duty physicians' mobile devices.

Integration: Epic / FHIR STAT Routing: IN USE
PACS Committer

Report Committed Successfully

Sent to EPIC EMR (ID: CR-892)

STAT ALERT DELIVERED

Clinical Impact

Validated efficiency and scaling metrics across real hospital deployments

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Faster Report Turnaround

Saves hours of manual clinical dictation and transcription bottlenecking per radiologist shift.

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Foundation Models Active

Specialized proprietary models in active research, validation, and clinical deployment phases.

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Internal AUROC Accuracy

Calibrated diagnostic validation levels across high-volume multicenter clinical studies.

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Innovation Awards

Recognized globally by clinical and incubator organizations for breakthroughs in AI diagnostics.

Hospital-Grade Governance

Secure-by-design infrastructure protecting highly sensitive clinical patient profiles

Zero-Touch PHI Scrubbing

Fully automated, locally-isolated de-identification strips patient names, IDs, dates, and locations immediately, prior to secure outbound transport.

TLS 1.3 & E2E Encryption

Clinical data is protected by TLS 1.3 protocol standards in transit and encrypted utilizing AES-256 standard primitives while resting.

Role-Based Access (RBAC)

Fine-grained control matrices ensure only authenticated, licensed clinical users have access to verify findings, while auditing every single interaction.

Promotion Sandboxes

Safe, dual-environment architecture allowing hospital admins to validate models in a sandbox prior to promotion into real production workspaces.

Transform Your Radiology Workflows

Get in touch with our team of clinical AI specialists for a customized integration sandbox