Radley (RADLEY AI, Inc.)
Radley is an AI-native radiology practice that uses AI-drafted reports and board-certified radiologists to turn around
The Problem
Hospitals and imaging centers face a radiologist shortage that is worsening, with the page citing a need for about 20% more radiologists today, growing to 50% by 2036, and 98 million images projected to be delayed in 2026 due to capacity limits. Studies sit in a backlog waiting to be read, and hiring another radiologist does not solve the underlying capacity problem. This leaves EDs unable to plan around turnaround times and imaging centers struggling to keep schedules moving and referrers satisfied.
The Solution
Radley operates as a radiology practice, not just software: facilities send studies through existing PACS and RIS integrations that Radley sets up and manages, so there is no separate integration project for the customer. For each study, AI prepares a draft report before a radiologist opens the case, and a board-certified radiologist reviews, corrects by voice, and signs every report, taking responsibility for it. After signing, results are automatically sent to ordering providers, critical findings are called, and follow-ups and claims are tracked, with the page showing a full cycle (report prep, review, result delivery, follow-up, claim) completing in under 15 seconds of automated steps plus a 2-minute radiologist review. Radley also positions its capacity to flex for volume spikes, nights, and unfilled positions so customer turnaround stays consistent.
Why Now?
The page frames timing around a worsening radiologist shortage, stating roughly 20% more radiologists are needed today, growing to 50% by 2036, and that 98M images will be delayed in 2026 due to capacity limits.
