Machine learning from clinical data sets of a contemporary decision for orthodontic tooth extraction.
Lily EtemadTai-Hsien WuParker HeinerJie LiuSanghee LeeWei-Lun ChaoMary Lanier ZaytounCamille GuezFeng-Chang LinChristina Bonebreak JacksonChing-Chang KoPublished in: Orthodontics & craniofacial research (2021)
An incongruent data pattern exists in a consecutively enrolled patient population. Future work with incongruent data segregation and advanced artificial intelligence algorithms is needed to improve the generalization ability to make it ready to support clinical decision-making.