Radiology startups say owning clinics speeds AI tool development as insurers resist new RPM rules

Radiology startups argue that owning their own imaging practices gives them direct access to patient scans and workflow data, which they say accelerates the creation and testing of artificial‑intelligence tools.

They describe this model as an "AI‑native" radiology practice, allowing rapid iteration of algorithms and real‑world validation without relying on external partners.

At the same time, insurers are pushing back against proposed changes to remote patient monitoring reimbursement, warning that the new rules could limit the financial viability of such AI‑driven services.

The clash underscores the broader challenge of aligning innovative AI solutions with existing reimbursement structures and regulatory expectations in the radiology field.