Development and validation of an artificial intelligence model to accurately predict spinopelvic parameters.
Edward S. HarakeJoseph R. LinzeyCheng JiangRushikesh S. JoshiMark M. ZakiJaes C. JonesSiri S. KhalsaJohn H. LeeZachary WilseckJacob R. JosephTodd C. HollonPaul ParkPublished in: CoRR (2024)
Keyphrases
- artificial intelligence
- parameter values
- probabilistic model
- sensitivity analysis
- mathematical model
- parameter estimation
- software engineering
- machine learning
- prediction model
- formal model
- intelligent systems
- probability distribution
- knowledge base
- objective function
- measured data
- maximum likelihood estimation
- engineering design
- data sets
- information systems
- computational models
- case study
- experimental data
- computational model
- expert systems
- information processing
- theoretical analysis
- knowledge based systems
- control system
- least squares
- cost function
- fuzzy logic