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Enabling In-Clinic Orthodontic Treatment Solutions with Advanced AI-Driven Digital Decision Support Systems and Novel Manufacturing Approaches

Enabling In-Clinic Orthodontic Treatment Solutions with Advanced AI-Driven Digital Decision Support Systems and Novel Manufacturing Approaches
通过先进的人工智能驱动的数字决策支持系统和新颖的制造方法实现临床正畸治疗解决方案
批准号:
10068611
负责人:
金额:
$82.31万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
在创新英国生物医学催化剂、西南中小企业Vitaware有限公司和学术合作伙伴、卡迪夫牙科学院和埃克塞特大学数字制造研究中心X-AT的支持下,旨在解决目前提供用于正畸治疗的清晰对准器的缺点。那些希望接受越来越受欢迎的“透明矫正器”正畸治疗的人,目前必须在昂贵的“牙医主导”解决方案(如Invisalign)和成本较低但临床无监督的“家庭”解决方案之间做出选择,因为这些解决方案的牙齿损伤风险很高。目前还没有办法让患者以负担得起的价格接受由牙医主导的高质量治疗。这项工业研究项目涉及探索和开发一种新的建议解决方案,用于为患者部署透明对准器治疗,从而促进监督治疗的正畸专家直接进行有效的“临床”治疗计划。这消除了外包给海外技术人员的大量费用,由于目前在诊所设计治疗方案的解决方案的复杂性,这是英国牙科/正畸诊所目前青睐的操作方式。提出的新解决方案结合了人工智能/机器学习、基于物理的模拟和研究,优化了小规模制造,以简化、加快端到端清晰对准器的工作流程。这种由专家计划和监督的针对患者的治疗将促进更好的结果,并使大多数英国人更容易获得明确的校准器。
英文摘要
With _s_upport from Innovate UK's Biomedical Catalyst, Southwest SME Vitaware Ltd. and academic partners, Cardiff Dental School and University of Exeter's digital manufacturing research centre, X-AT, aim to address shortcomings in the current provision of clear aligners for orthodontic treatment.Those looking to receive increasingly popular "Clear aligner" orthodontic treatment must currently make a choice between prohibitively expensive "dentist-led" solutions (such as Invisalign), or lower-cost, but clinically unsupervised "at-home" solutions where risk of dental damage is high. There is currently no means for patients to receive quality dentist-led treatment at an affordable price-point.This industrial research project involves the exploration and development of a new proposed solution for deployment of clear aligner treatments to patients which facilitate efficient "In-Clinic" treatment planning directly by the orthodontic specialists overseeing treatments. This removes large fees involved in outsourcing to offshore technicians, which is the current favoured modus operandi for UK dental/orthodontic clinics due to the complexity of current solutions for designing treatment solutions in-clinic.The proposed novel solution leverages a combination of AI/ML, physics-based simulation and researches optimised small-scale manufacture to streamline, expedite and de-skill the end-to-end clear aligner workflow. Such patient-specific treatments planned and overseen by specialists will promote superior outcomes and make clear aligners vastly more accessible to the majority of the British population.
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