Ortodontide Yapay Zekanın Etkileri

Abstract

Artificial Intelligence (AI) has emerged as a powerful tool in various fields, including orthodontics. This review aims to explore the multifaceted applications of AI in orthodontics, focusing on patient monitoring, cephalometric analysis, determination of age, segmentation of cone-beam computed tomography (CBCT) and 3D scans, treatment planning, and 3D printing slicer technology. AI-driven patient monitoring systems provide continuous oversight and facilitate early intervention, significantly improving patient compliance and treatment outcomes. Cephalometric analysis is revolutionized by AI algorithms that enable precise landmark identification, expediting diagnosis and enhancing treatment predictability. Age determination, an essential aspect of orthodontic assessment, can be accurately achieved using AI-based methods, resulting in more accurate growth predictions and tailored treatment strategies. The segmentation of CBCT and 3D scans is streamlined by AI, providing valuable data for orthodontic diagnosis and treatment planning. AI-driven treatment planning enables the design of more accurate and efficient orthodontic solutions, ultimately leading to improved patient satisfaction. Lastly, AI-integrated 3D printing slicer technology paves the way for more precise and cost-effective orthodontic appliances. Overall, the incorporation of AI in orthodontics holds great promise in enhancing diagnostic accuracy, treatment efficiency, and patient experience, paving the way for a new era of personalized orthodontic care.

Keywords

• Yapay zeka
• Ortodonti
• Hasta görüntüleme

The Influence of Artificial Intelligence in Orthodontics

Abstract

Artificial Intelligence (AI) has emerged as a powerful tool in various fields, including orthodontics. This review aims to explore the multifaceted applications of AI in orthodontics, focusing on patient monitoring, cephalometric analysis, determination of age, segmentation of cone-beam computed tomography (CBCT) and 3D scans, treatment planning, and 3D printing slicer technology. AI-driven patient monitoring systems provide continuous oversight and facilitate early intervention, significantly improving patient compliance and treatment outcomes. Cephalometric analysis is revolutionized by AI algorithms that enable precise landmark identification, expediting diagnosis and enhancing treatment predictability. Age determination, an essential aspect of orthodontic assessment, can be accurately achieved using AI-based methods, resulting in more accurate growth predictions and tailored treatment strategies. The segmentation of CBCT and 3D scans is streamlined by AI, providing valuable data for orthodontic diagnosis and treatment planning. AI-driven treatment planning enables the design of more accurate and efficient orthodontic solutions, ultimately leading to improved patient satisfaction. Lastly, AI-integrated 3D printing slicer technology paves the way for more precise and cost-effective orthodontic appliances. Overall, the incorporation of AI in orthodontics holds great promise in enhancing diagnostic accuracy, treatment efficiency, and patient experience, paving the way for a new era of personalized orthodontic care.

Keywords

• Artificial ıntelligence
• Orthodontics
• Patient monitoring

References

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