Increase Efficiency
Reduce tedious manual tasks and prioritize urgent cases with automated detection of abnormalities, measurements, and automated customizable reporting
Chest I MSK AI is CE marked and uses AI that automates detection in X-Ray images and delivers customizable reporting within minutes -- helps physicians and clinicians to securely confirm their diagnostic decisions 24 hours a day and to increase overall productivity to better focus on the patient.
Reduce tedious manual tasks and prioritize urgent cases with automated detection of abnormalities, measurements, and automated customizable reporting
Make faster and more consistent triage and diagnostic decisions with AI-powered detection and automated abnormality reporting
Anytime anywhere access to results through a single user interface zero-footprint viewer and an internet connection - No on-premises hardware required
One integration and user interface to gain access to all AI and images with no app switching cost
Diagnostic assistance for fast and thorough interpretation
A trusted assistant for reading radiologist and emergency department X-rays, the Arterys Chest | MSK AI places bounding boxes around suspected areas and displays negative findings in the Arterys diagnostic cloud native viewer. The AI results are also made visible in PACS Viewers and automatically pre-dictated in reporting templates.
Seven abnormalities in Chest | MSK x-rays of all view types (for adults and pediatrics)
The algorithm is trained to detect fracture, dislocation, elbow joint effusion, pleural effusion, pulmonary nodule, pulmonary opacity, and pneumothorax. It is capable of reading X-rays of all view types as well as images from portable X-ray machines.
AI-generated “STAT” flags for smarter and unbiased prioritization
The algorithm automatically scans plain films and seamlessly pushes a STAT-like flag to RIS/PACS worklists, once an abnormality is detected. Worklist is automatically prioritized based on suspected pathologies in the training model.
This patented feature increases efficiency and productivity by automating standard measurements–minimizing variability associated with subjective interpretation. Anatomies : Pelvis,Hip, Ankle, Foot
The algorithm is trained to detect fracture, dislocation, elbow joint effusion, pleural effusion, pulmonary nodule, pulmonary opacity, and pneumothorax. It is capable of reading X-rays of all view types as well as images from portable X-ray machines.
Each year, in France, 8 million medical images are taken in the emergency room. 4 examsout of 5 will be interpreted...
Here we present a case study that highlights the Arterys Chest I MSK AI solution in practice. Our application enables...