Search Articles

View query in Help articles search

Search Results (1 to 5 of 5 Results)

Download search results: CSV END BibTex RIS


Use of Deep Neural Networks to Predict Obesity With Short Audio Recordings: Development and Usability Study

Use of Deep Neural Networks to Predict Obesity With Short Audio Recordings: Development and Usability Study

This study constitutes the initial endeavor to explore the relationship between obesity and voice, highlighting an uncharted intersection in obesity research. Although preliminary, the study lays the groundwork in this novel domain, and relevant findings may inspire future research in voice-related health diagnostics.

Jingyi Huang, Peiqi Guo, Sheng Zhang, Mengmeng Ji, Ruopeng An

JMIR AI 2024;3:e54885

Quality and Accountability of ChatGPT in Health Care in Low- and Middle-Income Countries: Simulated Patient Study

Quality and Accountability of ChatGPT in Health Care in Low- and Middle-Income Countries: Simulated Patient Study

We asked Chat GPT to act as a doctor in an LMIC and offer consultations. The SPs detailed their primary concerns, gave standardized responses to every question, and recorded all diagnoses and medication recommendations, which were cross-referenced with clinical guidelines to assess their accuracy and appropriateness. For a robust analysis, we presented each disease to Chat GPT 3 times. We conducted descriptive analyses with the final sample of 27 independent trials.

Yafei Si, Yuyi Yang, Xi Wang, Jiaqi Zu, Xi Chen, Xiaojing Fan, Ruopeng An, Sen Gong

J Med Internet Res 2024;26:e56121

Influence of Pokémon GO on Physical Activity and Psychosocial Well-Being in Children and Adolescents: Systematic Review

Influence of Pokémon GO on Physical Activity and Psychosocial Well-Being in Children and Adolescents: Systematic Review

In recent years, the growing availability and use of mobile health apps have presented unique opportunities to promote PA and an active lifestyle on a broader scale [9]. Pokémon GO (Niantic Inc), an augmented reality game, has captured the interest of millions of users worldwide and holds the potential to promote PA and enhance psychosocial well-being among children and adolescents.

Haiyan Liang, Xi Wang, Ruopeng An

J Med Internet Res 2023;25:e49019

Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review

Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review

In light of these challenges, there is an escalating interest in leveraging artificial intelligence (AI) to enhance the accuracy and feasibility of dietary intake assessment [7]. AI, a branch of computer science focusing on developing algorithms that simulate human cognitive functions, has shown transformative potential across diverse sectors [8].

Jiakun Zheng, Junjie Wang, Jing Shen, Ruopeng An

J Med Internet Res 2024;26:e54557

Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies

Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies

Models for WHRb as a continuous variable predict the actual values within an error rate of 7.5% at the 90% confidence limits. Categorical models predict the correct logical value of WHR with an error in only 2 of the 300 evaluation cases. Analytical relationships derived from simple categorical models explain global observations on the total survey population to an accuracy rate as high as 99%. Simple continuous models represented as analytical functions highlight global relationships and trends.

Ruopeng An, Jing Shen, Yunyu Xiao

J Med Internet Res 2022;24(12):e40589

Cookie Consent

We use our own cookies and third-party cookies so that we can show you this website and better understand how you use it, with a view to improving the services we offer. If you continue browsing, we consider that you have accepted the cookies.