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  • GLEAMER Receives FDA Clearance for Its Artificial Intelligence Software . . .
    In a U S study recently published by Boston University School of Medicine, BoneView was shown to help detect and localize fractures over the entire appendicular skeleton, rib cage, thoracic and lumbar spine, improving sensitivity and specificity, while reducing reading time
  • Clinical Validation of Boneview for FDA Submission
    The goal of this clinical validation is to assess comparative performances of physicians with and without the assistance of BoneView for the diagnosis of fractures on radiographs
  • Fracture Detection on Bone Radiographs: The Impact of an AI Tool . . . - MDPI
    In February 2025, we introduced Gleamer BoneView® to help orthopaedists with automated fracture detection during shifts without on-site radiologists Statistical analyses measured the rates of fracture misdiagnosis before and after implementation of Gleamer BoneView®
  • Artificial intelligence-assisted detection of fractures on radiographs . . .
    Original research studies that investigated the diagnostic performance of human reading with and without BoneView Early budget impact analysis of AI to support the review of radiographic examinations for suspected fractures in NHS emergency departments (ED)
  • A Prospective Approach to Integration of AI Fracture Detection . . . - PubMed
    Gleamer BoneView © is a commercially available AI algorithm for fracture detection in radiographs We aim to test if the algorithm can assist in better sensitivity and specificity for fracture detection by residents with prospective integration into clinical workflow
  • Artificial intelligence-assisted detection of fractures on radiographs . . .
    Sensitivity and specificity in fracture detection on radiographs by human reading with and without BoneView were calculated for each included study Sensitivity and specificity without and with BoneView were compared by using the McNemar test, with statistical significance defined as p < 0 05
  • Clinical Studies - gleamer. ai
    Efficacy of a deep learning-based software for chest X-ray analysis in an emergency department Clinical Validation of an Artificial Intelligence Software for Bone Age Assessment based on Greulich Pyle method in a Portuguese Paediatric Cohort Simões, A M , Meneses, J P , Oliveira, P G Abrantes, J
  • BoneView - Gleamer | ESL FDA AI Device Intelligence
    A multi-reader, multi-case clinical study involving 24 readers and 480 cases showed that using BoneView as an aid significantly improved reader diagnostic accuracy, increasing sensitivity by 10 4% (from 0 648 to 0 752) and specificity by 5% (from 0 906 to 0 956) compared to unaided readings
  • AI Software for Fracture Detection Gets FDA Clearance
    A recent multicenter study of BoneView AI noted a significant increase in sensitivity for fracture detection on X-rays and decreases in reading time for radiographs
  • Fracture detection | BoneView
    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





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