Assessing a Smartphone App (AICaries) That Uses Artificial Intelligence to Detect Dental Caries in Children and Provides Interactive Oral Health Education: Protocol for a Design and Usability Testing Study.
Assessing a Smartphone App (AICaries) That Uses Artificial Intelligence to Detect Dental Caries in Children and Provides Interactive Oral Health Education: Protocol for a Design and Usability Testing Study.
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DOI：
10.2196/32921
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发表时间：
2021-10-22
影响因子：
1.7
通讯作者：
Fiscella K
中科院分区：
文献类型：
--
作者：
Xiao J;Luo J;Ly-Mapes O;Wu TT;Dye T;Al Jallad N;Hao P;Ruan J;Bullock S;Fiscella K
幼儿龋齿（ECC）是最常见的慢性儿童疾病，全世界每年有近18亿新发病例。ECC困扰着大约55%的低收入和少数族裔美国学龄前儿童，对健康和生活质量造成有害的短期和长期影响。临床证据表明，如果在早期发现并解决，龋齿是可逆的。然而，许多低收入的美国儿童往往难以获得儿科牙科服务。在这个服务不足的群体中，龋齿往往在需要广泛的修复治疗的晚期才被诊断出来。超过85%的低收入美国人拥有智能手机，智能手机应用程序等移动的健康工具有望实现患者驱动的ECC早期检测和风险控制。本研究旨在使用基于社区的参与式研究策略来完善和测试人工智能驱动的智能手机应用程序AICaries的可用性，该应用程序将由儿童的父母/照顾者用于儿童的龋齿检测。我们之前的工作已经产生了AICaries的原型，它使用父母智能手机拍摄的儿童牙齿照片提供人工智能驱动的龋齿检测，交互式龋齿风险评估以及降低儿童ECC风险的个性化教育。这项AICaries研究将采用两步定性研究设计，评估应用程序组件和应用程序流程的反馈和可用性，以及父母是否可以自行拍摄儿童牙齿的照片。具体来说，在第一步中，我们将在10对最终用户（带幼儿的父母）中进行单独的可用性测试，以促进应用程序模块的修改和微调，使用大声思考和即时数据分析策略。在第二步，我们将对32对父母及其年幼子女进行应用程序可行性和可接受性的无节制现场测试，以评估AICaries的可用性和可接受性，包括评估父母为子女拍摄的牙齿图像的数量/质量以及父母的满意度。这项研究由美国国家牙科和颅面研究所资助。该研究已获得机构审查委员会批准，并于2021年8月启动。数据收集和分析预计将分别于2022年3月和2022年6月结束。使用AICaries，父母可以使用常规智能手机拍摄孩子的牙齿照片，并在AICaries的帮助下检测ECC，以便他们可以在ECC的早期和可逆阶段积极为孩子寻求治疗。使用AICAries，家长还可以获得有关降低孩子龋齿风险的基本知识。这项研究的数据将支持未来的临床试验，该试验将评估使用这款智能手机应用程序对低收入儿童早期发现和预防ECC的现实影响。PRR1-10.2196/32921
Early childhood caries (ECC) is the most common chronic childhood disease, with nearly 1.8 billion new cases per year worldwide. ECC afflicts approximately 55% of low-income and minority US preschool children, resulting in harmful short- and long-term effects on health and quality of life. Clinical evidence shows that caries is reversible if detected and addressed in its early stages. However, many low-income US children often have poor access to pediatric dental services. In this underserved group, dental caries is often diagnosed at a late stage when extensive restorative treatment is needed. With more than 85% of lower-income Americans owning a smartphone, mobile health tools such as smartphone apps hold promise in achieving patient-driven early detection and risk control of ECC. This study aims to use a community-based participatory research strategy to refine and test the usability of an artificial intelligence–powered smartphone app, AICaries, to be used by children’s parents/caregivers for dental caries detection in their children. Our previous work has led to the prototype of AICaries, which offers artificial intelligence–powered caries detection using photos of children’s teeth taken by the parents’ smartphones, interactive caries risk assessment, and personalized education on reducing children’s ECC risk. This AICaries study will use a two-step qualitative study design to assess the feedback and usability of the app component and app flow, and whether parents can take photos of children’s teeth on their own. Specifically, in step 1, we will conduct individual usability tests among 10 pairs of end users (parents with young children) to facilitate app module modification and fine-tuning using think aloud and instant data analysis strategies. In step 2, we will conduct unmoderated field testing for app feasibility and acceptability among 32 pairs of parents with their young children to assess the usability and acceptability of AICaries, including assessing the number/quality of teeth images taken by the parents for their children and parents’ satisfaction. The study is funded by the National Institute of Dental and Craniofacial Research, United States. This study received institutional review board approval and launched in August 2021. Data collection and analysis are expected to conclude by March 2022 and June 2022, respectively. Using AICaries, parents can use their regular smartphones to take photos of their children’s teeth and detect ECC aided by AICaries so that they can actively seek treatment for their children at an early and reversible stage of ECC. Using AICaries, parents can also obtain essential knowledge on reducing their children’s caries risk. Data from this study will support a future clinical trial that evaluates the real-world impact of using this smartphone app on early detection and prevention of ECC among low-income children. PRR1-10.2196/32921
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影响因子：
2.9
作者：
Dickson-Swift V;Kenny A;Farmer J;Gussy M;Larkins S
通讯作者：
Larkins S
影响因子：
4.7
作者：
Wang, Jingting;Wang, Yuanyuan;Yuan, Changrong
通讯作者：
Yuan, Changrong
影响因子：
7.4
作者：
Ernsting C;Dombrowski SU;Oedekoven M;O Sullivan JL;Kanzler M;Kuhlmey A;Gellert P
通讯作者：
Gellert P
影响因子：
5
作者：
Pillalamarri SS;Huyett LM;Abdel-Malek A
通讯作者：
Abdel-Malek A
DOI：
10.14219/jada.archive.2009.0250
发表时间：
2009-06-01
影响因子：
3.9
作者：
Casamassimo, Paul S.;Thikkurissy, Sarat;Maiorini, Elyse
通讯作者：
Maiorini, Elyse