Augmented diagnosis, quantification, characterization, image reconstruction: medical artificial intelligence at your fingertips for radiology

Boneview

AI solution for standard radiography fracture detection

BoneView is a trauma decision support tool. BoneView analyzes x-rays, gives an assessment of the presence of fractures at the examination scale and locates the fractures on each image by presenting them to the practitioner directly on his screen, without any other logistical constraint for the doctor.

Detection and localization of fractures on x-ray images

Every X-ray image of an examination is enriched with enclosing boxes around the region where a fracture is present or suspected to be present.

Classification and sorting of exams into three categories

The examination is classified into three categories: presence of a fracture, suspicion of fracture’s presence, or absence of fracture. This automatic triage of cases into three categories, and therefore rapid identification of normal cases can be presented directly at the patient list level.

  • musculoskeletal
  • lumbar rachis
  • anatomical extremities
  • rib cage
  • fracture
  • x-ray
  • detection

Reduce waiting times

Speed up patient care and patient discharge and reduce waiting times.

Reassure your diagnosis

Decrease the number of missed fractures in the emergency room and reassure your diagnosis on normal cases thanks to the algorithm’s high NPV (99.7%).

Improve patient experience

Improve and standardize patient care in the emergency department

Save time, reassure your diagnosis and streamline your workflow with Incepto

Testimonial

Assister les radiologues requiert le plus haut niveau d’exigence. Pour y parvenir, nous avons conduit une ambitieuse étude clinique faisant intervenir 6 radiologues et 6 médecins urgentistes à qui nous avons demandé d’interpréter 600 examens de radio traumatique, la moitié avec BoneView, l’autre moitié sans. Le regard croisé de l’IA et du praticien a permis de diminuer de 30 % le taux de fractures non-détectées, tout en réduisant significativement le temps de lecture

Christian Allouche,

CEO Gleamer

Publications

  1. Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study. Loïc Duron & al. Radiology. 2021. DOI : 10.1148/radiol.2021203886

Save time, secure diagnosis and optimize your workflow with Incepto