Medaxxa

OrthoAlign AI

Personalized knee implant planning

Strengthen patient-specific knee arthroplasty planning with AI.

OrthoAlign AI transforms MR images into patient-specific knee arthroplasty plans through anatomical segmentation and 3D bone reconstruction. Surgeons can review and adjust planning parameters in the same workspace.

A health technology R&D project supported by TÜBİTAK 1812 BiGG

OrthoAlign AI·3D planning

R&D workflow

From MR image to a
patient-specific 3D surgical plan.

Image processing, 3D modelling and planning come together in one digital workflow.

  1. Step 01

    MR image acquisition

    The patient’s MR data is transferred into the planning workflow.

  2. Step 02

    Anatomical segmentation

    AI separates the femur and tibia structures within the MR image.

  3. Step 03

    3D bone reconstruction

    Segmentation data is transformed into a patient-specific three-dimensional knee model.

  4. Step 04

    Patient-specific surgical planning

    Anatomical measurements, resection levels and component parameters are planned together.

  5. Step 05

    Surgeon-shaped planning

    The surgeon reviews the plan, adjusts its parameters and approves it.

Planning workspace

Every critical surgical-planning parameter on one screen.

Anatomical measurements, component sizes and positions, resection levels and alignment options are displayed together in the same workspace.

  • Anatomical measurements

    Measure key anatomical references on the femur and tibia.

  • Component placement

    Review component size, position and anatomical fit together.

  • Femoral and tibial resections

    Compare resection levels and related measurement parameters.

  • Alignment options

    Evaluate rotation, slope and mechanical-alignment parameters.

Planning outputs

Three surgical application paths from one digital plan.

The 3D anatomical model and planning parameters create shared planning data for patient-specific cutting blocks, navigation and robotic-surgery infrastructure.

Clean 3D anatomical model of the femur and tibia

Planning output

3D anatomical model

Displays patient anatomy, measurements and planning references on an interactive 3D model.

Patient-specific cutting block positioned on knee anatomy

Development area

Patient-specific cutting-block infrastructure

Creates the geometric data needed to design patient-specific femoral and tibial cutting guides.

Diagram showing planning-data transfer to navigation and robotic systems

Integration research

Navigation and robotic integration

Provides the data infrastructure for transferring planning parameters to navigation and robotic-surgery systems.

AI + surgeon expertise

AI analyses anatomy; the surgeon shapes the plan.

OrthoAlign AI makes anatomical measurements and planning options visible. The surgeon compares and adjusts parameters to create the patient-specific plan.

3D planning experience

Explore anatomy and planning parameters in one workspace.

Femoral and tibial anatomy is displayed together with landmarks, measurement planes, alignment and component options.

KNEE ARTHROPLASTY · 3D PLANNING
OrthoAlign AI · Knee arthroplasty 3D planning

Explore anatomy in 3D

View the spatial relationship between the femur and tibia from different angles.

Measurements and landmarks

Evaluate anatomical landmarks, axes and measurement planes in the same view.

Compare planning options

Interactively adjust alignment, component position and resection parameters.

Scientific and technical foundation

Orthopaedics, medical imaging and software development converge in one planning platform.

OrthoAlign AI brings surgical-planning experience, MR image-processing research and 3D-modelling technologies together in the same product-development process.

Knee arthroplasty and surgical planning

Anatomical measurements and planning parameters are structured around real surgical workflows.

MR imaging and AI

Automatic segmentation of the femur and tibia creates patient-specific 3D anatomical models.

3D modelling and planning software

Anatomical data becomes a measurable, comparable and interactive surgical-planning workspace.