General Information
Product name
Company
Subspeciality
Modality
Disease targeted
Main task
Not specified
Technical Specifications
Population
Patient population age
Not specified
Input
Input format
Output
Output format
Integration
Deployment
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Processing time
Regulatory Information
Pathway:
MDR
Class:
Class IIa
Pathway:
510(k) cleared
Class:
Class II
Other certifications
Not specified
Market Presence
On market since
AI Platforms
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Paying clinical customers
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Pricing Information
Pricing model
Based on
Evidence & Research
Peer-Reviewed Papers
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Added value of artificial intelligence for the detection of pelvic and hip fractures
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Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol
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Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study
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Effectiveness of an Artificial Intelligence Software for Limb Radiographic Fracture Recognition in an Emergency Department
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AI-Assisted X-ray Fracture Detection in Residency Training: Evaluation in Pediatric and Adult Trauma Patients
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Radiographic Detection of Post-Traumatic Bone Fractures: Contribution of Artificial Intelligence Software to the Analysis of Senior and Junior Radiologists
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AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice
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Artificial Intelligence for Detecting Acute Fractures in Patients Admitted to an Emergency Department: Real-Life Performance of Three Commercial Algorithms
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Artificial intelligence vs. radiologist: accuracy of wrist fracture detection on radiographs
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A Prospective Approach to Integration of AI Fracture Detection Software in Radiographs into Clinical Workflow
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Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists
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Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow
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Assessment of performances of a deep learning algorithm for the detection of limbs and pelvic fractures, dislocations, focal bone lesions, and elbow effusions on trauma X-rays
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Automated detection of acute appendicular skeletal fractures in pediatric patients using deep learning
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Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence
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Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study
Other Articles
Source: vendor | First published: Apr 15, 2024 | Last updated: Jul 10, 2025