Compare · Gleamer
Gleamer alternative that flags, prioritizes and drafts across the whole read
The short answer
Gleamer is a French radiology AI company best known for BoneView, which supports fracture and bone trauma reading on X-ray, alongside ChestView for chest radiographs and its breast imaging product. RadNet acquired Gleamer in March 2026 and folded it into its DeepHealth AI business, so US buyers are now evaluating it as part of a larger portfolio rather than as an independent vendor. It is deep, per-exam detection on radiography, deployed widely in Europe. Radiological.ai is a whole-read alternative: one assistant that flags suspected findings, prioritizes the worklist and drafts the structured report across X-ray, CT and MRI. It is decision support, and the radiologist reviews, edits and signs every study.
Gleamer built its reputation on musculoskeletal radiography, and it is genuinely good at it. BoneView supports the trauma X-ray read for fractures, dislocations, effusions and focal bone lesions, ChestView covers chest radiographs, and the company reports deployment across thousands of institutions in dozens of countries. If your bottleneck is a high-volume trauma or ED X-ray list, that focus is exactly the point.
The groups that go looking for a Gleamer alternative are usually running a broader list. They read the trauma films, but they also read head CTs, abdominal studies and MRI, and each additional Gleamer product is another module in the suite. They also tend to want the report drafted, not only the finding flagged. Radiological.ai is built for that shape: one assistant that flags suspected findings for a second look, prioritizes the worklist so urgent studies do not wait, and drafts the structured report into your template, across X-ray, CT and MRI in a single pane. It is decision support, and you review and sign every study.
Last updated July 2026
Worklist
Structured report
DraftRun the assistant to draft this report for review.
Illustrative sample · not a real patient study, not a diagnosis
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
Gleamer is strong per-exam detection on radiography, deepest on musculoskeletal trauma X-ray via BoneView with wide European deployment; Radiological.ai is a whole-read assistant that flags suspected findings, prioritizes the worklist and drafts the structured report across X-ray, CT and MRI in one pane.
Side by side
Radiological.ai vs Gleamer, honestly
A fair look at what each does well. Both are capable tools. Here is where they differ.
| What matters | Radiological.ai | Gleamer |
|---|---|---|
| Primary focus | Whole-read workflow: flag, prioritize and draft in one assistant | Per-exam detection, deepest on musculoskeletal trauma X-ray |
| Modality coverage | X-ray, CT and MRI across common study types in one pane | Radiography focused, with separate products per exam area |
| Product shape | One assistant, one contract, one integration | A suite of products (BoneView, ChestView and others) licensed per module |
| Structured report drafting | Drafts the structured report into your template for you to edit and sign | Centered on detection output rather than report drafting |
| Worklist prioritization | Triages the combined worklist so urgent studies surface first | Flags findings on the exam; queue triage is not the core product |
| Regulatory status | Decision support; we make no regulatory-status claims on this site | Publishes regulatory clearances and peer-reviewed studies for its products |
| Pricing | Published plans on our pricing page | Not published; quoted per institution and per module |
| Best suited for | Groups wanting one assistant across a mixed reading list | High-volume trauma and ED radiography lists |
Comparison reflects general, publicly understood positioning. Capabilities change, so check each product for the latest.
One thing to factor into a Gleamer evaluation in 2026 is ownership. RadNet acquired Gleamer in March 2026 and folded it into DeepHealth, which also launched its own reporting product that June, so roadmap and integration questions now run through a larger parent that operates US imaging centers. Our DeepHealth alternative page covers what that consolidation means, and the RadNet ownership question covers what to ask when your software vendor also competes with you.
On the product side, the comparison usually comes down to how much of the reading list one contract covers. AI fracture detection covers the trauma X-ray use case Gleamer is strongest on, and AI chest X-ray covers the other radiography list. Groups buying detection one exam type at a time usually end up on the alternatives hub working out how many contracts they are actually running.
Why groups pick Radiological.ai
One assistant across the whole read
One assistant, not a module per exam
Gleamer sells depth per exam area, so covering more of your list means licensing more products. Radiological.ai spreads decision support across X-ray, CT and MRI in one contract and one integration, which is usually the difference groups are weighing.
The report, not just the flag
A detection product marks the finding and stops. The assistant also prioritizes the worklist and drafts the structured report into your template, so the radiologist starts from an ordered queue and an edit rather than a flag and a blank page.
Decision support, you always sign
Every flag is a prompt to look and every report is a draft. The responsible radiologist reviews, edits and signs each study, and we publish no accuracy figures and make no regulatory-status claims.
Good questions
Gleamer vs Radiological.ai, answered
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See how Radiological.ai reads alongside your group
One assistant that flags suspected findings, prioritizes the worklist, and drafts the structured report on X-ray, CT and MRI. You review and sign every study.
Decision support for qualified clinicians. Radiological.ai does not provide a diagnosis and is not a substitute for professional medical judgment.