人工智能驱动的牙根和骨骼预测如何帮助制定明确的矫正器治疗计划。

IF 2.4 3区 医学 Q2 DENTISTRY, ORAL SURGERY & MEDICINE
Eser Tüfekçi, Caroline K Carrico, Christina B Gordon, Steven J Lindauer
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引用次数: 0

摘要

整合人工智能(AI)和先进的三维(3D)成像,通过加强诊断和治疗计划,彻底改变了牙科。先进的算法和机器学习技术可能使正畸医生能够分析复杂的病例并准确预测治疗结果。这项技术促进了个性化治疗计划的创建,考虑到个体牙齿形态和牙周健康,优化力的应用和最小化治疗时间。自推出以来,透明牙齿矫正器越来越受欢迎,到2023年,将有超过1700万人接受治疗。与固定矫治器相比,透明矫正器具有美观、舒适和口腔卫生等优点。治疗牙周组织受损的患者需要准确的诊断和治疗计划。本文回顾了人工智能驱动的治疗计划软件如何预测牙根运动和可视化骨结构可能影响治疗决策并最终影响治疗结果。讨论了机器学习和人工智能背后的技术在设计清晰对准器。研究表明,当在3D视图中查看病例时,临床医生在使用仅使用近端间复位(IPR)的非拔牙方法治疗拥挤病例时更舒适。然而,值得注意的是,与那些使用透明矫正器经验不足的临床医生相比,具有丰富治疗透明矫正器患者经验的临床医生在2D视图下更容易使用IPR来解决严重拥挤病例。然而,当病例在3D中可视化时,两组在使用IPR时表现出同样的舒适,因为根在骨内。人工智能驱动的治疗计划软件,利用机器学习与3D建模相结合,可以提高正畸运动的可预测性,同时减少治疗时间,提高患者满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How AI-Driven Root and Bone Predictions Can Assist Clear Aligner Treatment Planning.

Integrating artificial intelligence (AI) and advanced three-dimensional (3D) imaging has revolutionised dentistry by enhancing diagnostics and treatment planning. Advanced algorithms and machine-learning techniques may enable orthodontists to analyse complex cases and predict treatment outcomes accurately. This technology facilitates the creation of customised treatment plans that consider individual tooth morphology and periodontal health, optimising force application and minimising treatment time. Since their introduction, clear aligners have gained popularity, with over 17 million people treated by 2023. Compared with fixed appliances, clear aligners offer advantages, such as better aesthetics, comfort and oral hygiene. Treating patients with a compromised periodontium requires accurate diagnosis and treatment planning. This paper reviews how AI-driven treatment planning software predicting root movement and visualising bone structures may impact treatment decisions and, ultimately, treatment outcomes. The technology behind machine learning and AI in designing clear aligners is discussed. Research shows that when viewing the cases in 3D, clinicians are more comfortable when treating crowding cases with a non-extraction approach using interproximal reduction (IPR) only. However, it was interesting to note that clinicians with extensive experience treating clear aligner patients were more comfortable using IPR to address severe crowding cases when viewed in 2D, compared with those less experienced with clear aligners. However, when the cases were visualised in 3D, both groups showed equal comfort in using IPR, as the roots were within the bone. AI-driven treatment planning software, utilising machine learning in conjunction with 3D modelling, may enhance the predictability of orthodontic movements while reducing treatment time and increasing patient satisfaction.

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来源期刊
Orthodontics & Craniofacial Research
Orthodontics & Craniofacial Research 医学-牙科与口腔外科
CiteScore
5.30
自引率
3.20%
发文量
65
审稿时长
>12 weeks
期刊介绍: Orthodontics & Craniofacial Research - Genes, Growth and Development is published to serve its readers as an international forum for the presentation and critical discussion of issues pertinent to the advancement of the specialty of orthodontics and the evidence-based knowledge of craniofacial growth and development. This forum is based on scientifically supported information, but also includes minority and conflicting opinions. The objective of the journal is to facilitate effective communication between the research community and practicing clinicians. Original papers of high scientific quality that report the findings of clinical trials, clinical epidemiology, and novel therapeutic or diagnostic approaches are appropriate submissions. Similarly, we welcome papers in genetics, developmental biology, syndromology, surgery, speech and hearing, and other biomedical disciplines related to clinical orthodontics and normal and abnormal craniofacial growth and development. In addition to original and basic research, the journal publishes concise reviews, case reports of substantial value, invited essays, letters, and announcements. The journal is published quarterly. The review of submitted papers will be coordinated by the editor and members of the editorial board. It is policy to review manuscripts within 3 to 4 weeks of receipt and to publish within 3 to 6 months of acceptance.
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