AI-based self-directed distance learning for dental students

该项目的重点是大学牙科学校的牙科学生的全球教育。该行业受到当前流行病的严重影响，难以维持牙科学生教育的许多方面，预计在灾后和未来几年难以恢复功能和经济。英国有17所大学牙科学院，欧洲有200所牙科学院，美国有更多。在这些学校中，超过100，000名牙科学生将受益于基于人工智能的自主远程学习工具，专注于牙科X光片分析技能的提高。牙科X光片分析是牙科诊断和治疗计划的核心。正确使用牙科X光片分析是预防牙科的重要工具，可以检测一系列牙科疾病并在早期治疗牙科患者。基于人工智能的专家提示系统在许多需要检查X光片的医疗领域都具有价值，例如筛查乳房X光检查，脊柱和眼科图像。牙科是基于人工智能的提示系统的另一个例子，使用牙颌面放射科医生提供的专家数据进行培训，已被证明可以提高牙科学生诊断准确性的整体标准（数据来自曼彻斯特大学和曼彻斯特成像存档）。此外，在一个远程学习越来越受重视的世界里，许多目前的大学牙科学校的教学方法并不容易适合于医学影像临床分析教学使用当前的技术，牙科学生无法轻松地记录他们对牙科X光片的临床评估，并与他们的导师一起工作，导师无法评估学生的表现改善。曼彻斯特成像有限公司的AssistDent（r）是早期牙病诊断的辅助工具，目前在英国和欧洲出售给牙医。他们使用它作为一个提示系统，特别是在分析咬翼射线照片寻找特定的早期蛀牙类型时提供帮助。AssistDent是一款可在网络应用程序中使用的人工智能软件，该软件已被批准为符合ISO-13485认证标准的CE认证医疗器械。该项目将调整和重新使用AssistDent（r），以提示更广泛的牙科疾病，以便所有大学牙科学校都可以使用它，使牙科学生能够提高他们的牙科X光片分析能力，而无需参加牙科学校的设施。预计在六个月内，临时版本将提供对新功能的访问，因为它们变得可用。“扩展影响”资金的影响大学牙科学校对新的在线牙科学生培训工具AssistDent的吸收一直很缓慢。随着利用扩展影响资金的能力，曼彻斯特成像将解决迄今为止该项目的关键学习问题。采用缓慢的两个关键原因是，首先，客户需要在承诺购买之前查看满意用户的案例研究，其次，客户需要更多功能，以便将产品集成到其当前的在线教学工作流程中，即改进报告，整理和导出评估结果。影响力扩展资金将使曼彻斯特成像公司能够投入时间和资金与客户开发我们的产品在使用中的案例研究。通过展示这些好处，并在更新的营销活动中使用这些案例研究，我们相信我们可以加快吸收。我们的目标是与英国、斯堪的纳维亚、德国、中东和美国的8所大学牙科学院合作。在完成3个月的8个案例研究应导致销售的8所大学，合作，并作为营销材料，以推动采用更广泛的全球基础的大学牙科学校，按照原来的项目。

The project focus is global education of dental studentsat university dental schools. This sector is badly impactedby the current pandemic, struggling to maintain many aspects of dental student education and anticipating difficulties recovering functionally and economically in the aftermath and future years.There are 17 university dental schools in the UK and a further 200 dental schools across Europe and a larger number in the US. In these schools are over 100,000 dental students that would benefitfrom an AI-based self-directed distance learning tool focussed on dental radiograph analysis skills improvement.Dental radiograph analysisis central to dental diagnosis and treatment planning. Used correctly analysis of the dental radiograph is an important tool in preventative dentistryto detect a range of dental diseases and treat dental patients at an early stage.Expert AI-based prompting systemsare of value in many medical fields in which inspection of radiographs is necessary e.g. screening mammography, spinal, and ophthalmic images.Dentistry is a further example where an AI-based prompting system, trained using expert data provided by dento-maxillofacial radiologists, has been shown to improve overall standards of diagnostic accuracy by dental students(data from University of Manchester and Manchester Imaging on file).Additionally in a world where distance learningis increasingly valued many current university dental school teaching methods do not readily lend themselves to the_\*_teaching of clinical analysis of medical images\*. Using current technologies, dental students cannot easily record their clinical assessment of a dental radiographs and work on this with their tutors who have no means of assessing the student's performance improvement.AssistDent(r) from Manchester Imaging Limited is an aid in the diagnosis of early dental disease, currently sold in the UK and Europe to dentists. They use it as a prompting system specifically to help when analysing bitewing radiographs looking for a particular early type of tooth decay. AssistDent is AI software available in a web application that isapproved as a CE marked medical device produced to ISO-13485 accredited standard.This project will adapt and repurpose the AssistDent(r)to prompt for a much wider range of dental diseases so that it can be used by all university dental schools to enable dental students to improve their dental radiograph analysis abilitywithout having to attend the dental school facilities. It is envisioned that within the six months interim releases will provide access to new functions as they become available.EFFECTS OF 'EXTENSION FOR IMPACT' FUNDINGUptake by university dental schools of the new online dental student training tool, AssistDent, has been slow. With the ability to utilise Extension for Impact funding Manchester Imaging will address the key learning from the project so far. The two key reasons for slow uptake are firstly that customers need to see case studies from satisfied users before committing to buy, and secondly customers require more features which facilitate the integration of the product into their current online teaching workflow i.e. improved reporting, collating and export of results for assessment.The Extension for Impact funding will allow Manchester Imaging to invest time and money in partnering with customers to develop case studies of our product in use. By showcasing the benefits, and using these case studies in a refreshed marketing campaign, we believe we can accelerate the uptake. We will set a target of partnering with 8 university dental schools across UK, Scandinavia, Germany, Middle East and the US. At completion of the 3 months the 8 case studies should result in sales in the 8 universities that partnered and serve as marketing material to drive adoption by the wider global base of university dental schools, as per the original project.