Among Artificial Intelligence/Machine Learning Methods, Automated Gradient-Boosting Models Accurately Score Intraoral Plaque in Non-Standardized Images

• Egile Nagusiak: Eric Coy (Egilea), William Santo (Egilea), Bonnie Jue (Egilea), Helen Betts (Egilea), Francisco Ramos-Gomez (Egilea), Stuart A. Gansky (Egilea)
• Formatua: Liburua
• Argitaratua: Taylor & Francis Group, 2024-12-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Background Previous automated models inaccurately scored non-standardized plaque images. The objectives were to develop and test automated image selection and intraoral plaque-scoring (primary outcome measure in a prevention trial for preschoolers).Methods Evaluating 1650 plaque-disclosed primary te...