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Every algorithm. One contract. One Amalgamated view.

Satori, from TestDynamics, helps radiology departments adopt AI without the overhead. Choose use cases from a clinically specified Catalogue, evaluate algorithms on your own studies, and deploy them through one integration and one contract.

The pressure on radiology

Radiology isn’t short on AI. It’s short on a practical way to adopt it.

Imaging volumes keep rising while the number of radiologists does not keep pace. Each reader covers more studies, more modalities and more images per study, and fatigue leads to missed findings and delayed diagnoses. AI was supposed to relieve that pressure, yet most departments run only a handful of algorithms.

1,000+

FDA-cleared radiology algorithms

[source and date]

Hundreds

of AI vendors

[source]

42

use cases across 7 domains in the Satori Catalogue

[N] live today

The bottleneck isn’t the algorithms. It’s everything around them.

Every new algorithm raises the same five questions, and today each department answers them alone, one vendor at a time.

Selection

Which use cases matter for our volume, and which vendor is best for each, without relying on vendor marketing?

Validation

How does the model perform on our patients, scanners and protocols?

Integration

How does it fit into PACS, the EMR and reporting without extra clicks or another IT project?

Contracting

How do we manage contracts, BAAs and SLAs with a dozen vendors, and replace one without restarting procurement?

Governance

How do we monitor performance, collect radiologist feedback and prove ROI over time?

The result is long pilots, stalled procurement, point solutions that never scale, and AI budgets that are hard to defend.

What Satori does

One platform for selecting, integrating, contracting and governing radiology AI.

TestDynamics built Satori to be vendor-neutral. We don’t sell algorithms. We help Radiology and IT choose the right ones, deploy them into existing workflows, prove they work, and replace them when they don’t.

How it works

01

Map the volume.

We analyze your procedure volume by modality and subspecialty to find where AI will have measurable impact.

02

Prioritize use cases.

With your Radiology and IT leads, we rank use cases from the Satori Catalogue.

03

Plan the integration.

One connection to PACS, the EMR and draft reporting, not one per vendor.

04

Onboard against KPIs.

Each use case goes live on a set schedule with success metrics agreed before launch.

05

Tailor SNAPP.

Configure what radiologists see for every use case.

06

Monitor and adapt.

Track performance, feedback and ROI. Replace what underperforms; activate new use cases on demand.

Results from every algorithm, in one view, inside the reading workflow.

SNAPP brings the output of every deployed algorithm into a single view for the study being read. Each department decides which results appear, in what order and how. Radiologist feedback is captured in the same place and feeds the decision to keep, replace or expand each algorithm.

What your department gets

One contract covering radiology AI. Add, change or replace solutions without new procurement. Vendor MSAs and BAAs already in place.

One integration for IT, however many algorithms are deployed.

One view for clinicians, configured to each department.

Objective evaluation on your own data, independent of vendor claims.

Continuous governance: live KPIs, radiologist feedback and ROI across every algorithm.

One point of contact for support.

On-demand growth: new use cases activated when you’re ready, each with defined KPIs.

Who it’s for

Radiology leaders

Build an AI program across every subspecialty without a new contract and integration each time.

Radiologists

Results from every algorithm in one view, showing what matters for your subspecialty.

IT and informatics

One integration with PACS, the EMR and reporting, and one vendor to support.

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[Customer quote, pending written permission]

[Name]

[Title], [Organization]

See where AI fits your volume.

Send us your procedure volume by modality and we’ll show which Catalogue use cases would have measurable impact, and what it would take to go live.