BoneView

Detects fractures, dislocations, effusions and bone lesions.

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Overview

BoneView is an AI solution that aims to improve diagnostic accuracy and quality of care. Integrated in existing X-ray reading workflow, BoneView pushes secondary images into PACS with the AI findings as well as a summary table to give the reader a quick overview on the exam.

ChestView - gleamer_logo_full-color

Features

BoneView's FDA cleared version supports automatic interpretation of:
  • Limbs radiographs of children above 2 years.
  • Limbs, pelvis, rib cage, and dorsolumbar vertebra radiographs of adults.
  • Flags suspicious areas or subtle fractures.

BoneView's CE-marked version detects:

  • Fractures, dislocations, effusions, bone lesions.
  • Areas of interest: Limbs, pelvis, ribs, dorsolumbar spine.

Benefits

Studies show that using BoneView resulted in:

  • 30% less missed fractures​.¹
  • 20% increase in sensitivity​.²
  • Up to 36% reduction in reading time.²

Image examples

Gleamer output

To find out more about this solution, or the 100+ other applications on the Blackford Platform, book a discovery call with our team.

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We’d welcome the opportunity to learn more about your AI needs and to explain how partnering with Blackford can drive efficiency and provide ongoing value.

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¹Guermazi A, Tannoury C, Kompel AJ, Murakami AM, Ducarouge A, Gillibert A, et al. Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence. Radiology. 2022 Mar;302(3):627–36.

²Canoni-Meynet L, Verdot P, Danner A, Calame P, Aubry S. Added value of an artificial intelligence solution for fracture detection in the radiologist’s daily trauma emergencies workflow. Diagnostic and Interventional Imaging. 2022 Jun;