Jazayeri Seyed Mohamad Hosein Mousavi, Jamshidnezhad Amir
Nutrition and Metabolic Disease Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Department of Health Information Technology, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Malays J Med Sci. 2019 Jan;26(1):5-14. doi: 10.21315/mjms2019.26.1.2. Epub 2019 Feb 28.
The development of intelligent software in recent years has grown rapidly. Mobile health has become a field of interest as a tool for childcare, especially as a means for parents of children with diverse diseases and a resource to promote their health conditions. Current systematic review was conducted to survey the functionalities of available applications on the mobile platform to support pediatrics intelligent diagnosis and children healthcare. Results which met the inclusion criteria (such as patient monitoring, decision support, diagnosis support) were obtained, assessed and organised into a checklist. In this study, 379 potential apps were identified using the search feature in Apple App Store and Google Play Store. After careful consideration of the selected apps, only three (Google Play Store) and one (iTunes Store), fulfilled all the general inclusion criteria and special criteria, such as intelligence tools. The results showed that Artificial Intelligence (AI) was used minimally in diagnostic apps due to a limited amount of mobile hardware and software, such as the reliable programming of intelligent algorithms.
近年来，智能软件发展迅速。移动健康作为儿童护理工具，已成为一个备受关注的领域，尤其对于患有各种疾病儿童的家长而言，它是促进孩子健康状况的一种手段。本研究进行了系统评价，以调查移动平台上支持儿科智能诊断和儿童医疗保健的现有应用程序的功能。获取了符合纳入标准（如患者监测、决策支持、诊断支持）的结果，并进行评估后整理成清单。在本研究中，通过苹果应用商店和谷歌应用商店的搜索功能识别出379个潜在应用程序。在仔细考虑所选应用程序后，只有三个（谷歌应用商店）和一个（iTunes商店）满足所有一般纳入标准和特殊标准，如智能工具。结果表明，由于移动硬件和软件数量有限，如智能算法的可靠编程，人工智能（AI）在诊断应用程序中的使用极少。
