Developing a digital therapeutic for obesity management through <scp>3D</scp> human body reconstruction

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.

Authors

Institutions

Publication Details

Journal
Expert Systems
Published
2024-11-07
DOI
https://doi.org/10.1111/exsy.13678
Primary Topic
3D Shape Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing a digital therapeutic for obesity management through 3D human body reconstruction

Sekyoung Youm, Hyun Sook Lee
Expert Systems
3D Shape Modeling and Analysis
article

Developing a digital therapeutic for obesity management through 3D human body reconstruction

Sekyoung Youm, Hyun Sook Lee
article en

Abstract

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.

Expert SystemsVol. 42(2)
Dongguk University (KR)
National Research Foundation, National Research Foundation of Korea
Good health and well-being
Openalex Percentile: Top 78%
3D Shape Modeling and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Developing a digital therapeutic for obesity management through <scp>3D</scp> human body reconstruction — Sekyoung Youm, Hyun Sook Lee · Expert Systems (2024) | TGRS Research Map | TGRS