Ortodontide Yapay Zekâ Uygulamaları
Synopsis
Artificial intelligence (AI) is an important technological development with the potential to transform diagnosis, treatment planning, and clinical monitoring in orthodontics. This chapter reviews the current applications, clinical uses, and limitations of AI in orthodontics in light of the scientific literature. Machine learning and deep learning methods used for automated cephalometric landmark identification, three-dimensional imaging and segmentation, growth and development assessment, malocclusion classification, and treatment planning are examined. The chapter also evaluates the prediction of orthognathic surgery need and treatment outcomes, digital workflows in clear aligner therapy, remote orthodontic monitoring, and the potential of large language models in clinical practice. Current research shows that AI systems can achieve high performance, particularly in image analysis, automated measurement, and classification tasks. However, limited datasets, lack of external validation, algorithmic bias, and concerns about clinical reliability restrict their widespread use. In conclusion, AI should be regarded not as an autonomous decision-making system that replaces the clinician, but as an assistive technology that supports expert judgment and improves the efficiency of clinical workflows.
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