课题基金 / 基金详情

AI-based self-directed distance learning for dental students

AI-based self-directed distance learning for dental students
牙科学生基于人工智能的自主远程学习
批准号:
57413
负责人:
金额:
$9.04万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Incentive and governance schenism study of corporate green washing behavior in China: Based on an integiated view of econfiguration of environmental authority and decoupling logic
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    YU BYUNGJUN
  • 依托单位:
Exploring the Intrinsic Mechanisms of CEO Turnover and Market Reaction: An Explanation Based on Information Asymmetry
  • 批准号:
    W2433169
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    HAOFEI ZHANG
  • 依托单位:
含Re、Ru先进镍基单晶高温合金中TCP相成核—生长机理的原位动态研究
  • 批准号:
    52301178
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30.00万元
  • 批准年份:
    2023
  • 负责人:
    夏万顺
  • 依托单位: