Publications by authors named "Cami Tussie"

Article Synopsis
  • * Researchers developed an AI model using cephalometric analysis from 220 patients to classify maxillofacial morphology accurately, employing a random forest classifier for analysis.
  • * The AI model achieved high accuracy rates for different classifications (combined: 82.3%, anteroposterior: 98.6%, vertical: 85.0%), with the ANB angle being the most significant measurement, but acknowledged that more data could enhance its effectiveness.
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