Flexion Gap Prediction with Machine Learning

Patient Inputs

Prealign: Varus Valgus Gender: Female Male Laxity: Varus 1+ Laxity Varus 2+ Laxity Valgus 1+ Laxity Valgus 2+ Laxity No Laxity Hyperextension Insert (mm): 9 11 13 15 17 Ext Rotation (degrees): 2 3 4 5 6 Shift (mm): -2 -1 0 1 2 DFR (mm): 8 9 10 11 12 Preop Ext (degrees): 0 5 10 15 20 Tibia Bone Removal (mm): Femur Bone Removal (mm): Preop Flexion: Age: Height (inches): Weight (lbs): HCCR: No Yes Tibial Slope: PCL Release: ITB Closure/Patch: Predict (Rule-Based) Predict (ML Model)

Results

Rule-Based Prediction: N/A

Flexion Gap: N/A mm

Extension Gap: N/A mm

ML Prediction: N/A

Flexion Gap: N/A mm

Extension Gap: N/A mm

F1 Score: N/A

Train Model with Synthetic Data Save Model Load Model

Prediction Chart