Optimize CT Scan Data for Preventive Care
Nanox.AI Bone solution provides qualitative and quantitative analysis of the spine from CT images to support clinicians in the evaluation and assessment of musculoskeletal disease of the spine
Discover the Need for
Advanced Bone Care
Enhancing Outcomes
Nanox.AI Software yields six-fold increase
in spine fracture identification
Early findings in the ADOPT study show that Nanox.AI software improves the detection of spine fractures, an early sign of osteoporosis, outperforming the UK National Health

Nanox.AI Bone Solution increased Spine Fracture Detection
As part of the ADOPT study, the Nanox.AI algorithm has identified over 2,400 patients with vertebral compression fractures from routine CT scans unknown to the NHS’s hospitals.

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AI Solutions for Better Outcomes
Improving Clinical Outcome
Nanox.AI Bone Algorithm has a clinical benefit by highlighting findings in routine CT studies that otherwise may have been undetected
Generating Value
By identifying individuals at risk for fractures before they happen, the Nanox.AI Bone solution enables healthcare providers to take preemptive action.
Seamless Integration
Seamless integration with existing Picture Archiving and Communication Systems (PACS) enables timely and appropriate preventive care.
Adding Clinical Value to Radiology Reports
The AI Bone Solution bridges the gap between radiology and orthopedics by providing both qualitative and quantitative analysis of the spine from CT images. While radiology can detect abnormalities, our solution adds clinical value by offering numerical data that supports clinicians in the evaluation and assessment of musculoskeletal diseases of the spine.
Exploring Insights and Innovations in
Bone Solution
Explore leading articles in the field of medical imaging, featuring cutting-edge research, breakthrough technologies, and in-depth analyses of the future of medicine. Read more and stay updated with the latest knowledge and development.

Performances réelles de l’algorithme de fracture vertébrale (FV) activé par l’IA pour les études de liaison des fractures : l’étude ADOPT
Moins de 30 % des fractures de fragilité vertébrale (FV) sont signalées lors des scanners cliniques de routine effectués par les radiologues


Dans la population étudiée, l’outil NanoxAI Bone a permis de détecter davantage de patients à risque d’ostéoporose par rapport aux soins standard (FRAX)
Les méthodes d’identification des patients à haut risque de fractures ostéoporotiques, notamment l’absorptiométrie à rayons X à double énergie (DXA)1,2 et les prédicteurs de risque comme l’outil d’évaluation du risque de fracture (FRAX)3-6, sont sous-utilisées.


Validation de HealthOST par Nanox.AI
logiciel de traitement d’images qui fournit une analyse qualitative et quantitative de la colonne vertébrale à partir de scanners pour aider les cliniciens dans l’évaluation des maladies musculo-squelettiques de la colonne vertébrale

Case Study

REAL-WORLD PERFORMANCE OF AI ENABLED VERTEBRAL FRACTURE (VF)
ALGORITHM FOR FRACTURE LIAISON STUDIES:
THE ADOPT STUDY
