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Library›Open textbooks›Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment›Technologies

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Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment · Technologies

Technologies

CC BY 4.0 · National Institute for Health and Care Research · approximately 1 min read

A brief overview of the technologies included in the assessment can be found in Table 1. Please see the NICE scope1 for further details.

TABLE 1 Description of technologies included in the assessment
Technology (company)Key features
BoneView (Gleamer) BoneView detects fractures in X-rays of the appendicular skeleton, ribs and thoracic-lumbar spine. Also dislocations, effusions and bone lesions.
Exclusions: skull, cervical spine (IFU)
Suitable for people aged 2 years and over.
Compatible with all available X-ray imaging systems.
Uses X-ray radiographs in DICOM format.
Results are presented as either positive for fracture, negative, or doubt (IFU), with bounding boxes placed around identified anomalies. Where there is doubt about the presence of an anomaly, the bounding box is dashed. No response is given where an excluded body area is analysed (IFU).
Rayvolve (AZmed) Rayvolve detects fractures in the appendicular skeleton and ribs. Also dislocations and joint effusions.
Suitable for adults only.
Uses X-ray radiographs in DICOM format.
Integrated into hospitals’ existing radiology workflows using Wellbeing’s AI Connect gateway.
RBfracture (Radiobotics) RBfracture detects fractures in the appendicular skeleton, knee, elbow, rib and periprosthetic area.
Exclusions: skull, face, spine (IFU), chronic and healed fractures (RFI).
Suitable for people aged 2 years and over (RFI).
Compatible with all available X-ray imaging systems.
Uses X-rays in DICOM format.
A red dot is placed on summary reports to indicate an identified anomaly. Bounding boxes are placed around identified anomalies; lower confidence results are indicated using a dashed line provided.
Most recent version at time of assessment: 2.1. New versions are expected in quarter3 2024 and quarter 1 2025 (RFI).
qMSK (Qure.ai) qMSK detects fractures in the appendicular skeleton and ribs.
Suitable for adults only.
TechCare Alert (Milvue) Detects fractures in X-rays of the appendicular skeleton and the ribs. Also dislocations.
No age limit for use.
Uses X-rays in DICOM format.
Boundary boxes are placed around areas of interest.
← Decision-problemClinical context →

Attribution. Caroline Farmer; Helen Coelho; Madhusubramanian Muthukumar; Sophie Robinson; Robert Meertens; Obioha C Ukoumunne et al. (2026). Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment. National Institute for Health and Care Research. Copyright © 2026 Farmer et al. Licensed under CC BY 4.0. NCBI Bookshelf NBK622219. CC BY 4.0. Original source ↗. Text reproduced from the Bookshelf XML without changing wording; figures, images and supplements are not reproduced.

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