FractureDetect (FX)
Overview
FractureDetect (FX) is a computer-assisted detection and diagnosis (CAD) software device developed by Imagen Technologies. It leverages robust scientific principles and industry-standard deep learning algorithms for computer vision to assist clinicians in detecting fractures during the review of radiographs of the musculoskeletal system. FX analyzes adult radiographs and provides relevant annotations, creating a DICOM overlay that indicates the presence or absence of fractures. This overlay can be toggled on or off within the clinician’s PACS viewer, allowing for uninhibited concurrent review of the original radiograph. The device is specifically indicated for adults only and supports various industry-standard radiographic views and study types across the musculoskeletal system, including areas like the ankle, clavicle, and other upper and lower extremities, and pelvis.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Computer-assisted detection and diagnosis (CAD) for fractures
- Utilizes deep learning algorithms for image analysis
- Analyzes musculoskeletal radiographs in adults
- Provides relevant annotations and DICOM overlays
- Indicated for adults only
- Supports multiple radiographic views and study types (e.g., ankle, clavicle, pelvis, upper/lower extremities)
- Improves clinician diagnostic accuracy and confidence
- Reduces missed fractures in clinical settings
- Seamlessly integrates into existing PACS workflows
Use Cases
- Assisting clinicians in detecting fractures during radiograph review at the point of care
- Improving diagnostic accuracy for various clinician types, including radiologists, emergency medicine physicians, and primary care physicians
- Reducing diagnostic errors and misinterpretations in emergency departments
- Enhancing clinician experience and productivity by streamlining diagnostic workflows
- Enabling earlier detection and intervention for musculoskeletal fractures
- Supporting in-office imaging solutions within primary care and other practices
What Physicians Need to Know
FractureDetect (FX) is intended as an assistive tool for adult radiographs, not a replacement for clinical judgment. The AI overlay can be toggled on/off in PACS for flexible review. While it covers a broad range of musculoskeletal views, it's crucial to remember it's not cleared for pediatric fractures. The tool has demonstrated improved diagnostic performance for clinicians, particularly in sensitivity.
FractureDetect (FX) is designed to integrate into existing radiology workflows by processing DICOM images from standard imaging devices or DICOM nodes and providing a DICOM overlay within the PACS viewer.
Details
| Category | Radiology & Imaging AI |
| Pricing | Contact for pricing |
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | Cleared AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Orthopedics, Radiology |
What the Web Says
FractureDetect (FX) by Imagen Technologies is an AI-powered software designed to assist clinicians in detecting fractures in adult musculoskeletal radiographs. It analyzes X-ray images and provides annotations to highlight potential fractures, aiming to improve diagnostic accuracy and reduce missed fractures. The software has received FDA clearance and has demonstrated improved sensitivity and specificity for clinicians when used as an aid.
Overall: PositiveStrengths
- Improves diagnostic accuracy for clinicians, especially those with limited musculoskeletal imaging training.
- Increases sensitivity and specificity in fracture detection.
- FDA-cleared for use in adults across various anatomical regions.
- Can be integrated into existing PACS viewers with a togglable overlay.
- Potential to reduce missed fractures and expedite diagnosis.
Limitations
- Some Reddit discussions express skepticism about AI replacing radiologists and concerns about over-reliance on AI.
- Concerns raised on Reddit about potential underpayment of radiologists by companies leveraging AI, and the quality of reads in such models.
- One Reddit comment suggests that AI excels with apparent fractures but may fail with cases requiring complex reasoning.
- Some AI fracture detection tools, in general, may overdiagnose or have technical problems that delay results.
- The information regarding development, performance evidence, and target population for some AI solutions is not always clear.
Based on reviews from: National Institutes of Health (NIH), U.S. Food and Drug Administration (FDA), American Journal of Roentgenology (AJR), ResearchGate, Health AI DB, Innolitics, Braid Health, AuntMinnie.com, BoneZonePub.com, Reddit
Last updated: 2026-10-30
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