AIMC Topic: Young Adult

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Relationship between C-reactive protein triglyceride glucose index and cardiovascular disease risk: a cross-sectional analysis with machine learning.

BMC medical informatics and decision making
BACKGROUND: Cardiovascular disease (CVD) continues to be a leading cause of disease burden and mortality worldwide. Identifying reliable biomarkers for CVD risk assessment is essential. This study investigates the association between the C-reactive p...

Unveiling the burden of snakebite injuries: an EQ-5D-5 L-based evaluation of health-related quality of life.

BMC public health
BACKGROUND: Snakebite envenoming remains poorly understood in terms of long-term health-related quality of life (HRQoL), particularly in China where standardized assessments are lacking. This study is the first to comprehensively evaluate HRQoL impai...

A dual recurrent neural network model of human-like motion for artificial agents and its evaluation in a VR mirror game turing test.

Scientific reports
Action-oriented approaches to cognition which emphasize the constitutive role of sensorimotor patterns for perception are gaining importance for the study of cognitive processes in the human brain as well as for endowing artificial agents with cognit...

The influence of AI service robots' humorous response strategies on consumer forgiveness following service failure.

Scientific reports
As technology advances, more AI entities are deployed in public service roles. However, AI service robot failures are increasingly frequent, causing negative behaviors such as customer dissatisfaction or complaints. Service recovery plays a crucial r...

Perceptions of portable dentistry in Asia using machine learning models.

Scientific reports
Access to healthcare is a significant challenge for individuals with limited mobility, particularly in developing countries and among vulnerable populations in Asia. Portable dentistry offers an innovative solution by delivering essential dental serv...

Optimizing machine learning models for predicting health service access and determinants among pregnant women in rural Ethiopia.

Scientific reports
Pregnant women in rural Ethiopia face substantial barriers to accessing adequate healthcare services, contributing to adverse maternal and neonatal health outcomes. Traditional statistical approaches often fall short in capturing the complex, nonline...

Identify MRI negative temporal lobe epilepsy with resting fMRI indicators and machine learning techniques.

Scientific reports
About 30% of temporal lobe epilepsy (TLE) cases are negative on MRI, so quantitative diagnosis based on clinical symptoms becomes challenging. There is an urgent need for an accurate and reliable method to differentiate patients with MRI-negative TLE...

Acceptance of healthcare services based on the large language model in China: a national cross-sectional study.

BMC public health
BACKGROUND: Increasing public acceptance of medical large language models will be beneficial for further leveraging their potential in reducing medical costs and improving efficiency. The objective of our research is to figure out the acceptance of h...

AI chatbots as 'pocket doctors': intimate health support for young women in Lebanon.

BMC public health
BACKGROUND: In conservative societies such as Lebanon and the broader Middle East and North Africa region, gynecological and intimate health issues are heavily stigmatized, limiting young women's access to care due to fear of judgment, privacy concer...

SHAP-based interpretable machine learning for injury risk prediction in university football players: a multi-dimensional data analysis approach.

Scientific reports
Sports injury prediction is crucial for university football player health, yet existing research predominantly focuses on professional athletes and lacks interpretability. Using the Kaggle "University Football Injury Prediction Dataset" (800 Chinese ...