Buyer Snapshot

Best-fit buyer
Radiology leadership, pathology leadership, clinical informatics, imaging IT, patient safety, and procurement
Primary use case
Triage studies, flag findings, support image interpretation, and coordinate time-sensitive care
Typical deployment
Usually integrated with PACS, RIS, worklists, or digital pathology systems and monitored inside the clinical workflow

What to Verify

Evidence

  • Was the tool tested prospectively and independently on comparable equipment and patients?
  • What are sensitivity, specificity, false positive workload, and time-to-action effects?
  • How does performance vary by site, scanner, demographic subgroup, and disease prevalence?

Regulatory and workflow

  • Which FDA authorization covers the exact product version, modality, and intended use?
  • Who retains final clinical responsibility and how is disagreement with the AI handled?
  • What post-deployment monitoring and material update notification does the vendor provide?

Data and contracts

  • Where are images and derived data processed and retained?
  • Which PACS, RIS, pathology, and EHR integrations are supported in production?
  • Can data be used for model improvement, and what controls govern secondary use?

FDA Clearances on Record

None. That is the ordinary case rather than a mark against the company: Medical Imaging and Diagnostic AI generally sits outside the device categories the FDA clears, because the software supports the people doing the work instead of reading a patient image or signal itself.

What the Published Research Says

Before a demo, it helps to know what independent studies found about this kind of work generally, separate from any one company's own results.

Official source: PathAI website