Artificial intelligence-based three-dimensional templating for total joint arthroplasty planning: a scoping review.
Ausberto Velasquez GarciaLainey G BukowiecLinjun YangHiroki NishikawaJames S FitzsimmonsA Noelle LarsonMichael J TauntonJoaquin Sanchez-SoteloShawn W O'DriscollCody C WylesPublished in: International orthopaedics (2024)
AI-based 3D templating systems have the potential to improve preoperative planning for joint arthroplasty surgery. This technology offers more accurate and personalized preoperative planning, which has potential to improve functional outcomes for patients. However, deficiencies in several key areas, including data handling, model development, and testing, can potentially hinder the reproducibility and reliability of the methods proposed. As such, further research is needed to definitively evaluate the efficacy and feasibility of these systems.
Keyphrases
- artificial intelligence
- big data
- machine learning
- end stage renal disease
- deep learning
- patients undergoing
- chronic kidney disease
- minimally invasive
- ejection fraction
- newly diagnosed
- prognostic factors
- peritoneal dialysis
- electronic health record
- patient reported outcomes
- high resolution
- risk assessment
- mass spectrometry
- coronary artery disease