For teams · Radiology over read services
Radiology over read services compared: overread providers, X-ray overread software for urgent care, and which fracture detection AI holds FDA clearance
The short answer
A radiology over read is a formal interpretation of an imaging study by a board certified radiologist, produced after a non radiologist has already looked at the film and treated the patient. Urgent care centers, chiropractic clinics, orthopedic practices and mobile X-ray providers buy overreads because the clinician who treated the patient is usually not the person qualified to sign the diagnostic report. The purchase has two parts that buyers routinely confuse: the human read, bought from a teleradiology group on a per study rate, and the software layer that flags suspected findings the moment the image is acquired, so the treating clinician is not making a disposition decision on their own for the next several hours. Radiological.ai is the second part. It flags suspected findings on the X-ray at the point of care and drafts the structured report, and the radiologist still reviews and signs every read.
An urgent care that shoots its own films has a gap measured in hours. The patient is standing in front of you, the X-ray is on the screen, and the person qualified to render the diagnostic interpretation is a contracted radiologist who will get to it sometime tonight. You splint, you discharge, and the overread arrives later. Most of the time it agrees with you. The times it does not are the reason the contract exists.
Radiological.ai closes that gap on the software side. It reviews the study as it is acquired, flags regions worth a second look before the patient is discharged, and drafts the structured report so the radiologist doing the formal overread starts from a populated template rather than a blank one. It is decision support, not a replacement for the overread: the radiologist reviews and signs every read, and the discrepancy rate is exactly why you keep them.
Last updated September 2026
Worklist
Structured report
DraftRun the assistant to draft this report for review.
Illustrative study. Not for diagnostic use.
Decision support for qualified clinicians. Radiological.ai does not provide a diagnosis and is not a substitute for professional judgment.
Flag · prioritize · draft · you review and sign
Decision support not a diagnosis
You review & sign
If the question is who reads the studies rather than what flags them, our page on teleradiology companies covers provider selection, contract shape and state licensure, and teleradiology software covers the platform your contracted radiologists actually work in. AI fracture detection goes deeper on the extremity films that make up most of an urgent care X-ray volume.
On the money side, teleradiology pricing breaks down per study read rates and contract minimums against federal award records, and radiology AI CPT codes and reimbursement covers whether the professional component and the algorithm itself are separately billable. FDA approved radiology AI lists the cleared products by product code so you can verify a K number before you sign.
Primary source
Every AI product FDA cleared to detect a fracture, and the six companies that hold them
Fracture detection AI clears under product code QBS, which the FDA defines as radiological computer assisted detection and diagnosis software for fracture, regulated at 21 CFR 892.2090 as a class II device. There are 11 such records in the entire openFDA database and they belong to six companies. If a vendor is selling you AI fracture detection and is not on this list, ask which K number it clears under.
| Company and product | Fracture (QBS) records | Most recent record | What the record covers |
|---|---|---|---|
| AZmed (Rayvolve) | 4 | K261378, August 28, 2026 | Rayvolve AZchest, the most recent fracture clearance on file |
| Gleamer (BoneView) | 2 | K222176, March 2, 2023 | BoneView. Gleamer also holds ChestView under MYN and BoneMetrics under QIH |
| Imagen Technologies (FractureDetect, OsteoDetect) | 2 | K193417, July 30, 2020 | Includes DEN180005, the May 2018 De Novo grant that created this category |
| Milvue (TechCare Trauma) | 1 | K242171, January 17, 2025 | Trauma reading support |
| Icometrix (icobrain aria) | 1 | K240712, November 7, 2024 | Cleared under the same fracture code |
| GE Medical Systems (Critical Care Suite) | 1 | K223491, May 25, 2023 | Critical Care Suite with pneumothorax detection |
| Experity and other overread service providers | 0 | No 510(k) on record | A teleradiology service is not a device. Read this zero correctly, it is expected |
Source: openFDA 510(k) database, queried by product code QBS on September 9, 2026, and the FDA device classification endpoint for the code definition. A count of zero against a service provider is not a warning sign: a company that contracts radiologists to read studies is selling professional services, not software that makes a diagnostic claim, so it has nothing to clear. The zero matters only when a company markets an algorithm.
Why it works
What your group gets with radiology over read services
The overread and the AI are two different purchases, and conflating them is how clinics overpay
A teleradiology overread contract buys you a physician signature and the liability position that comes with it. Software buys you speed at the point of care. They are priced differently, they are procured differently, and one does not substitute for the other. Clinics that treat AI as a cheaper overread end up with neither a defensible report nor a billable professional component. Clinics that treat the overread as sufficient accept a multi hour window in which the treating clinician has no second opinion at all. The workable arrangement is both: flags at acquisition, signature within the contracted turnaround.
Turnaround is the only service level worth negotiating hard, and it is measured in two numbers
Ask any prospective provider for STAT and routine turnaround separately, as measured medians rather than targets, and ask what percentage of studies breach each. A provider quoting one blended average is hiding the tail, and the tail is what generates the callbacks. Experity, the largest provider in the urgent care segment, publishes averages of 10.78 minutes for STAT reads and 22.31 minutes for routine interpretations across more than five million studies a year, which is a useful public benchmark to hold a smaller competitor against.
Ask which product code the AI clears under, not whether it is FDA cleared
Every vendor in this space says FDA cleared, and almost all of them are telling the truth about something. The question that separates them is what. QBS is fracture detection. MYN is a medical image analyzer. QIH is automated image processing. QAS is triage and notification. QFM is prioritization for lesions. A product cleared under QIH has not been evaluated for its ability to call a fracture, and in an urgent care that reads mostly extremity films, that distinction is the whole purchase. The table above gives you the six companies whose records actually say fracture.
What it handles
Flagged, prioritized and drafted for your review
The assistant pre-reads each study, surfaces a region of interest for review, re-prioritizes the worklist, and drafts the structured report in your template. You confirm, edit and sign.
- Flags suspected findings on the X-ray at the point of care, before the patient is discharged
- Drafts the structured report so the overreading radiologist starts from a populated template
- Triages the study queue so suspected time critical findings surface ahead of routine films
- Hands a consistent report format back to the referring clinician and into the chart
Region of interest flagged for review
A focal region is surfaced on the sample study for the radiologist to review. The assistant does not characterize it as a diagnosis.
Suspected finding flagged for radiologist review. Correlate clinically and confirm. Draft for review and sign-off.
Why Radiological.ai
One assistant across the whole read
Not three vendors stitched together. Flag, prioritize and draft in one calm pane, on X-ray, CT and MRI, with the radiologist signing every study.
Flags suspected findings
A second set of eyes surfaces regions of interest for review on every study, so a suspected finding is less likely to slip past late in a shift.
Prioritizes the worklist
Suspected-critical studies move to the top, so urgent reads surface ahead of routine follow-ups across your sites and shifts.
Drafts the report
A structured draft arrives in your template, ready to edit and sign. The draft saves the typing and the measuring, never the judgment.
Good questions
Questions about radiology over read services
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Read more studies, with the assistant alongside you
Flag suspected findings, prioritize the worklist, and draft the structured report. You review and sign every study.
Radiological.ai is a workflow and decision-support tool for qualified clinicians. It does not provide a diagnosis and is not a substitute for professional medical judgment.