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
- end stage renal disease
- big data
- deep learning
- ejection fraction
- newly diagnosed
- total hip
- chronic kidney disease
- computed tomography
- peritoneal dialysis
- prognostic factors
- magnetic resonance imaging
- patients undergoing
- contrast enhanced
- patient reported outcomes
- positron emission tomography
- dual energy