From: Applications of artificial intelligence and machine learning in orthodontics: a scoping review
Type of AI/ML algorithm utilized | Number of studies | Reference number |
---|---|---|
Artificial neural network—ANN | 13 | |
Convolutional neural network—CNN | 9 | |
Support vector machine | 9 | |
Regression | 8 | |
Random forest | 5 | |
Decision tree | 3 | |
Bayesian networks | 3 | |
Expert systems | 3 | |
Active shape models | 2 | |
Automatic detection algorithms | 2 | |
Fuzzy clustering | 2 | |
Active appearance models | 2 | |
Shape variation analyzer | 2 | |
Pattern matching | 2 | |
Light GBM | 1 | [47] |
XG boost | 1 | [47] |
Deep learning network | 1 | [70] |
k-nearest neighbors | 1 | [20] |
Naïve-Bayes | 1 | [20] |
Machine learning with LINKS | 1 | [71] |
Gaussian process regression—GPR | 1 | [40] |
Logic learning machine | 1 | [72] |
Mean shift algorithm | 1 | [43] |
Network analysis | 1 | [73] |
Projected principle edge distribution | 1 | [74] |
Spatial spectroscopy | 1 | [75] |
Unspecified algorithms | 4 |