AI Radiology Intelligence

Radiology AI That
Actually Works.

Complete, structured, clinically signable radiology reports from medical images. No hallucinated findings. No fabricated measurements. Reports your radiologists can trust and sign.

Live System

How Voxel Vision Works

Most AI in radiology produces probability scores or bounding boxes that radiologists cannot use. Voxel Vision takes a fundamentally different approach: it produces complete, structured reports that follow the same clinical scoring standards your radiologists use, with built-in safeguards against hallucinated findings. Reports you can actually sign.

The Process

From medical images to clinically signable reports.

Step 1

Image Analysis

Processes complex multi-image studies, handling real-world imaging variations across dozens of images per exam. Organizes and attributes every image to the correct anatomical finding.

Step 2

Structured Reporting

Produces structured, per-finding scoring that follows established clinical standards (such as ACR TI-RADS). Generates EHR-compatible structured output with compliant follow-up recommendations.

Step 3

Continuous Improvement

The system adapts to your radiologists' preferences and reading style over time. The more your practice uses Voxel Vision, the more accurately it reflects your clinical standards.

Active Applications

Working Prototype

Thyroid Ultrasound

Complete TI-RADS classification and structured reporting from thyroid ultrasound images. The system follows ACR TI-RADS standards, evaluates all five scoring categories per nodule, and generates EHR-compatible structured output with ACR-compliant follow-up recommendations.

Deep-dive: Thyroid Ultrasound Reader
Working Prototype

CT Perfusion (CTP) Reporting

Structured radiology reports drafted from perfusion maps generated by clinical software such as RapidAI and Viz.ai. The system interprets CBF, CBV, MTT, and Tmax parameters, evaluates core infarct versus penumbra mismatch, and produces a structured stroke perfusion report ready for your EHR.

Working Prototype

Cardiac Nuclear Medicine (SPECT MPI)

Structured reporting for myocardial perfusion imaging. The system interprets rest and stress SPECT perfusion maps, evaluates regional wall motion, calculates summed stress/rest/difference scores (SSS/SRS/SDS), and produces a structured cardiac perfusion report with risk stratification.

Working Prototype

DEXA Bone Densitometry

Automated structured reports from dual-energy X-ray absorptiometry (DEXA) scans. Evaluates T-scores and Z-scores across lumbar spine and hip sites, classifies osteoporosis and osteopenia per WHO criteria, flags fracture risk, and generates EHR-compatible structured output with follow-up recommendations.

Coming Soon

Expanding to New Modalities

For imaging studies that require analysis across dozens or hundreds of slices, we are developing advanced capabilities that handle true 3D spatial reasoning. Same proven approach, applied to increasingly complex imaging.

Radiologist-Validated Training

Each new modality is trained on expert-verified imaging studies. The AI learns disease-specific visual patterns directly from practicing radiologists.

3D Volumetric Analysis

Advanced processing that preserves spatial relationships across slices, enabling the system to reason about anatomy in three dimensions rather than isolated 2D images.

Disease-by-Disease Expansion

New modalities are added systematically, starting with common findings and progressing to rare pathology. Each expansion is clinically validated before deployment.

Target Modalities

Lumbar Spine MRIResearch Phase
Cervical Spine MRIResearch Phase
PET/CT OncologyPlanned
Thyroid Uptake & Scan (I-123)Planned
Bone ScintigraphyPlanned
V/Q Lung ScanPlanned

Compute Infrastructure

NVIDIANVIDIA Inception Member

GPU-accelerated medical image processing, optimized inference for real-time analysis, advanced compute infrastructure

Google CloudVertex AI

Cloud AI platform for model training, scalable inference APIs, secure cloud storage and processing

AWSCredits Active

GPU processing, secure medical image storage, scalable compute infrastructure

The Compounding Advantage

Voxel Vision adapts to your radiologists' preferences and reading style. The longer your practice uses it, the more accurately it reflects your clinical standards — a system that gets better every day.

AI Drafts Report
Radiologist Reviews
System Learns
Accuracy Compounds

Institution-Specific

The system adapts to each practice's preferences, terminology, and clinical standards.

Instant Learning

Every correction is immediately incorporated — no waiting for model retraining or software updates.

Audit Trail Built In

Every correction is logged with the original output and the updated recommendation.

Deploy Your Way

Two deployment architectures. One system. Your security requirements dictate the choice.

On-Premise

NVIDIA GPU-Accelerated

  • Air-gapped - zero PHI leaves your premises
  • Purpose-built AI models for radiology
  • Full data sovereignty and compliance
  • Runs on standard NVIDIA GPU hardware
Zero PHI ExposureAir-GappedOn-Premise

HIPAA Cloud

Vertex AI + BAA Coverage

  • De-identified medical images via secure cloud
  • Business Associate Agreement (BAA) covered
  • Customer-Managed Encryption Keys (CMEK)
  • No GPU hardware investment required
BAA-CoveredCMEK EncryptionHIPAA-Ready
HIPAA-Ready Architecture
FDA 510(k) Pathway Planned

VoxelMD products are in active research and development. Nothing on this website constitutes a cleared or approved medical device, clinical decision support system, or diagnostic tool. No VoxelMD system is intended to replace physician judgment, and all outputs require review and sign-off by a licensed physician before any clinical use. Performance metrics referenced are based on internal testing and have not been independently validated. Silicon Health Solutions LLC (d/b/a VoxelMD) is a California-registered company.

See It In Action

Request early access to explore VoxelVision's capabilities with your imaging data.