{"title":"Developing a digital therapeutic for obesity management through 3D human body reconstruction","authors":"Hyunsook Lee, Sekyoung Youm","doi":"10.1111/exsy.13678","DOIUrl":null,"url":null,"abstract":"<p>This study introduced a groundbreaking approach to address the pressing public health challenges of obesity management and its associated health implications. By establishing a clear link between obesity and various health issues, this study underscores the critical need for effective interventions. Our team developed a pioneering digital therapeutic tool through the application of advanced 3D artificial intelligence technologies. This innovative solution offers a dynamic visual representation of weight loss and health enhancement journeys for individuals with obesity. By providing a platform for users to monitor their progress in real time, digital therapeutics (DTx) foster deeper engagement and strengthen motivation towards health goals. The experimental results showed that the digital therapeutic received high scores in terms of usability, effectiveness, predictiveness and personalization, user satisfaction, and continuous usage and adherence. These findings suggest that DTx can be a valuable tool for the management and treatment of obesity. The effectiveness of this digital approach was thoroughly assessed from multiple dimensions, showing its significant potential and effectiveness in obesity management. These findings advocate ongoing research in this area, projecting that the continuous evolution of DTx will have a profound positive impact on both personal and public health outcomes.</p>","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 2","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.13678","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Systems","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/exsy.13678","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
This study introduced a groundbreaking approach to address the pressing public health challenges of obesity management and its associated health implications. By establishing a clear link between obesity and various health issues, this study underscores the critical need for effective interventions. Our team developed a pioneering digital therapeutic tool through the application of advanced 3D artificial intelligence technologies. This innovative solution offers a dynamic visual representation of weight loss and health enhancement journeys for individuals with obesity. By providing a platform for users to monitor their progress in real time, digital therapeutics (DTx) foster deeper engagement and strengthen motivation towards health goals. The experimental results showed that the digital therapeutic received high scores in terms of usability, effectiveness, predictiveness and personalization, user satisfaction, and continuous usage and adherence. These findings suggest that DTx can be a valuable tool for the management and treatment of obesity. The effectiveness of this digital approach was thoroughly assessed from multiple dimensions, showing its significant potential and effectiveness in obesity management. These findings advocate ongoing research in this area, projecting that the continuous evolution of DTx will have a profound positive impact on both personal and public health outcomes.
期刊介绍:
Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper.
As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.