Developing a digital therapeutic for obesity management through 3D human body reconstructionopen access
- Authors
- Lee, Hyunsook; Youm, Sekyoung
- Issue Date
- Feb-2025
- Publisher
- John Wiley & Sons Ltd
- Keywords
- 3D body shape; 3D human body reconstruction; cognitive Behavioural therapy; digital therapeutics
- Citation
- Expert Systems, v.42, no.2, pp 1 - 13
- Pages
- 13
- Indexed
- SCIE
SCOPUS
- Journal Title
- Expert Systems
- Volume
- 42
- Number
- 2
- Start Page
- 1
- End Page
- 13
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/56296
- DOI
- 10.1111/exsy.13678
- ISSN
- 0266-4720
1468-0394
- 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.
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Collections - College of Engineering > Department of Industrial and Systems Engineering > 1. Journal Articles

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