Radley is an AI-native radiology practice that provides hospitals and imaging centers with fast, reliable reads by pairing board-certified radiologists with AI-generated draft reports. Studies are returned signed in minutes, with voice-based corrections and automatic result delivery to ordering providers. Radley connects to existing PACS and RIS systems without integration projects.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitals and imaging centers face a growing shortage of radiologists, leading to study backlogs and delayed diagnoses. As demand for imaging increases, capacity constraints cause studies to sit in queues for days, impacting patient care and operational efficiency.
Solution
Radley operates as an AI-native radiology practice that combines software automation with board-certified physicians. AI prepares a draft report before the radiologist opens the case, reducing non-interpretive work. Radiologists review and correct reports—using voice commands—and sign them in about two minutes. Results are automatically sent to the ordering provider, and follow-up coordination and claim submission are handled by the platform, ensuring a streamlined, end-to-end workflow.
Target Audience
Primary customers are hospitals and imaging centers that need dependable radiology coverage and faster turnaround times to manage study backlogs and improve operational throughput.
Features
- AI-generated draft reports prepared before a radiologist reviews the case, reducing turnaround time
- Voice-based report corrections to speed up the review and signing process
- Automatic distribution of signed reports to ordering providers within seconds
- Integrated follow-up coordination and claim submission to reduce administrative burden
- Direct PACS and RIS connectivity with no integration project required; Radley manages setup
- Board-certified radiologists who take responsibility for every signed report, ensuring clinical accountability