Validating a Novel 2D to 3D Knee Reconstruction Method on Preoperative Total Knee Arthroplasty Patient Anatomies.
Shai FactorRon GurelDor DanGuy BenkovichAmit SagiArtsiom AbialevichVadim BenkovichPublished in: Journal of clinical medicine (2024)
The study findings demonstrate promising results regarding the accuracy of XPlan.ai™ in reconstructing 3D bone models from plain-film X-rays. The observed accuracy on real-world TKA patient anatomies in anatomically relevant regions, including bony landmarks, cut contours, and axes, suggests the potential utility of this method in various clinical scenarios. Further validation studies on larger cohorts are warranted to fully assess the reliability and generalizability of our results. Nonetheless, our findings lay the groundwork for potential advancements in future robotic arthroplasty technologies, with XPlan.ai™ offering a promising alternative to conventional CT scans in certain clinical contexts.
Keyphrases
- total knee arthroplasty
- total hip
- computed tomography
- case report
- artificial intelligence
- climate change
- patients undergoing
- machine learning
- minimally invasive
- magnetic resonance imaging
- magnetic resonance
- dual energy
- image quality
- current status
- knee osteoarthritis
- positron emission tomography
- deep learning
- gold nanoparticles
- bone loss
- ionic liquid
- pet ct
- anterior cruciate ligament