Every Precision Imaging Network (PIN) workflow begins in the clinical environment, where diagnostic images are created as part of routine patient care. These imaging sources form the foundation of the imaging ecosystem and remain critical to how imaging data is acquired, stored, and accessed across an organization.

PIN is intentionally designed to integrate with these existing systems, not replace them. This makes it easier for healthcare organizations to use imaging AI without changing how teams already work.

Imaging sources in the ecosystem

From an architectural perspective, PIN’s approach to imaging sources delivers several key advantages:

  • No changes to how images are created or stored: Imaging teams can keep working the same way they do today. No new steps or processes are required.

  • Current systems stay in charge: PACS and VNA systems remain the official source for imaging data, helping maintain trust, accuracy, and compliance.

  • Less disruption for staff: Because PIN fits into what’s already in place, organizations can add AI gradually without major system changes or retraining.

Imaging Modalities

Imaging modalities are where medical images are created. They produce diagnostic images that help clinicians make decisions about patient care. Common examples include:

  • CT scans

  • MRI

  • X‑ray and fluoroscopy

  • Ultrasound

These systems follow standard clinical procedures to create images. PIN does not connect directly to imaging machines or change how images are captured. Instead, it works with downstream systems to identify studies for AI analysis. This means imaging teams can continue working exactly as they do today.

Picture Archiving and Communication Systems (PACS)

PACS systems store and display medical images for radiologists and clinicians. They are the main system used to review, read, and report on imaging studies.

With PIN in place:

  • PACS remains the official source of imaging data

  • Clinicians continue using familiar PACS tools

  • PIN works alongside PACS to send selected studies for AI analysis

By keeping PACS at the center of imaging workflows, PIN avoids added complexity and preserves trusted radiology processes.

Vendor Neutral Archives (VNA)

VNAs store medical images long term and make them accessible across departments and systems. They support data sharing, system flexibility, and long‑term retention.

PIN does not replace VNAs or store primary imaging data. Instead, it focuses on enabling AI workflows. This allows organizations to keep their existing imaging strategy while extending AI to stored images when needed.

How PIN works with imaging sources

PIN enhances existing imaging systems instead of changing them. It identifies imaging studies that are appropriate for AI analysis based on predefined rules, such as:

  • Type of scan or imaging modality

  • Clinical purpose of the study

  • Timing or urgency

Once selected, studies are securely sent through the PIN workflow for AI analysis. The original images always remain in their original systems.

Why imaging sources matter in PIN Architecture

By anchoring the AI workflow at existing imaging sources, Precision Imaging Network ensures that innovation starts where clinical care already happens. This alignment enables organizations to:

  • Protect existing investments in imaging infrastructure

  • Reduce integration complexity

  • Accelerate AI adoption with lower risk

  • Maintain consistency across clinical workflows

Imaging sources are not just the starting point of data—they are the foundation that allows PIN to deliver scalable, trusted, and workflow‑embedded AI insights across the enterprise.

Next up: Accelerator Gateway

Discover how the Accelerator Gateway powers secure, seamless connectivity between your on‑premise imaging environment and the cloud‑based Precision Imaging Network (PIN). Let's go

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