
Augmenting Surgical Expertisewith advanced 3D imaging processing
Improve preoperative planning and drive clinical decision-making process with up-to-date software: from 3D processing to AI-powered image work-up and computation.
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IODA into action
Use of 3D imaging processing to deal with the decision-making flow for shoulder instability
IODA APPLICATIONS
For orthopaedic surgery
3D imaging processing
Full-image segmentation for a 3D assessment of bony segments.
Glenoid Bone Loss
Automated estimation of Glenoid Bone Loss ratio, with or without contralateral glenoid comparison.
Humeral head defect
Automated estimation of location and size of Hill-Sachs lesion of the humeral head
Glenoid Track
Combine the power of GBL and Hill-Sachs lesion estimations to achieve a thorough assessment of glenoid track
HOW IODA WORKS
From scientific development to clinical application
Glenoid bone
Defect Calculation
Basic 3D CT
Segmentation and Manipulation
From surgeons for surgeons
From surgeons for surgeons - the scientific evidence behind IODA development.
Peer-reviewed publications
IODA-shoulder®, a 3-dimensional automated software for glenoidbone loss quantification in shoulder instability.

WHY CHOOSE US
Services to the users

Experience & Expertise
The software has been developed and is regularly updated by surgeons utilizing the potentiality of such a complete suite.

Continuous Development
With AI-based functionalities, the software gain further improvements from day-by-day use to drive clinical decision-making.

Education and support
A complete library of tutorial and educational contents is available for all registered users to improve their knowledge on software use.
WORK-FLOW
Program Processes
1
CT scan
Monolateral or bilateral CT-scan is required for DICOM images uploading and processing
2
IODA application
Uploaded DICOM images are processed and segmentation is automatically carried out by the software.
3
Segment landmarking
The bony segment of interest is landmarked and automatic processing starts.
4
Data acquisition
Information about segment shape and features are processed, to determine the measure of output
5
Final output
The output of interest (bone loss features) is available in seconds after automatic processing to help in driving decision-making process.
1
%
reduction in image processing time
1
%
improvement of accuracy
1
%
data protection guaranteed
1
cases processed using IODA
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