Development and Validation of an Artificial Intelligence Preoperative Planning and Patient-Specific Instrumentation System for Total Knee Arthroplasty.
Songlin LiXingyu LiuXi ChenHongjun XuYiling ZhangWenwei QianPublished in: Bioengineering (Basel, Switzerland) (2023)
AIJOINT significantly reduces the time needed for CT processing and PSI design without increasing the time for size planning, accurately predicts the component size, and improves the accuracy of lower limb alignment in TKA patients, providing a meaningful supplement to the application of AI in orthopaedics.
Keyphrases
- artificial intelligence
- total knee arthroplasty
- lower limb
- machine learning
- big data
- end stage renal disease
- deep learning
- ejection fraction
- newly diagnosed
- total hip
- chronic kidney disease
- computed tomography
- prognostic factors
- patients undergoing
- magnetic resonance imaging
- patient reported outcomes
- contrast enhanced
- patient reported