Addictions

Explainable machine learning for sustainable education: Predicting college students' reliance on generative artificial intelligence.

As generative artificial intelligence (GenAI) becomes increasingly embedded in education, students are using it to support knowledge acquisition, explore solutions, and stimulate creative thinking. At the same time, its convenience has raised concerns about overreliance. To assess and manage such dependence so that GenAI can be used sustainably in education, this study is based on questionnaire da...

Cognitive and emotional dynamics of artificial intelligence-assisted English learning: A mixed-methods study in a dual instructional context.

Artificial intelligence (AI) tools have become increasingly integrated into university-level English learning, yet their pedagogical role within input-based instruction and English-medium education remains insufficiently understood. This mixed-methods study examines how first-year students in a Thai higher education institution use AI applications to support English learning, how they emotionally ...

A Smartphone-based Comprehensive Dataset of Annotated Oral Cavity Images for Enhanced Oral Disease Diagnosis.

This study introduces a SMARTphone-based, expert annotated dataset of Oral Mucosa images (SMART-OM), collected to facilitate the development of Artifi...

Clustering of cardiovascular risk factors and their association with socio-demographic and lifestyle factors in middle-aged and older adults in rural northeast South Africa: Findings from HAALSI.

OBJECTIVES: This study examined patterns of clustering of intermediate risk factors for Cardiovascular diseases (CVDs) in a rural South African popula...

Machine Learning Models for Identifying Dental Pain in Adolescents.

INTRODUCTION: This study aimed to identify dental pain using machine learning (ML) algorithms in Brazilian adolescents for public health screening pur...

Interpretable machine learning for predicting delays in seeking abortion among reproductive-aged women in Ethiopia: A study using EDHS 2016 data.

Delayed access to abortion care in Ethiopia poses significant public health risks, yet it has not been studied using advanced machine learning models ...

Detection of Lung and Colon Cancer Using XRx-Net With Histopathological Images.

Lung and Colon Cancer (LCC) is a prevalent type of cancer influenced by factors such as genetics, smoking, second-hand smoke exposure, and alcohol con...

Smartphone Addiction, Use Preferences, and Depression Among Older Adults in the Digital Context: Machine Learning Analysis of Survey Data.

BACKGROUND: The increasing use of smartphones among older adults offers new opportunities for social connection but may also pose risks associated wit...

Spatiotemporal clustering of state-level opioid, opioid-stimulant, and opioid-benzodiazepine polysubstance deaths across the U.S.: Hierarchical agglomerative clustering analysis.

BACKGROUND: Polysubstance use continues to complicate the US overdose landscape, with over 107,000 lives lost to drug overdoses in 2022. The present s...

CSSL-ISRVN: consistency self-supervised learning integrating ISTANet and sensitivity refinement-enhanced variational network for accelerated MRI reconstruction.

OBJECTIVE: Magnetic resonance imaging is essential in clinical practice due to its non-invasive nature and superior soft-tissue contrast. However, lon...

Signal or noise? Evaluating commonly used attribution methods for explaining deep neural networks in electrocardiogram classification.

AIMS: Attribution-based explainability methods are widely used in electrocardiogram (ECG) analysis to interpret predictions from 'black-box' deep neur...

A SEM-ANN analysis to examine impact of AI overreliance through a social cognitive lens: the roles of dependency, FOMO, addiction, and anxiety.

The rapid integration of artificial intelligence (AI) has transformed how people learn, work, and make decisions, while raising growing concerns about...

Thermal imaging for the detection of driver impairment: evidence from a high-fidelity driving simulator study.

OBJECTIVES: Driving under the influence of alcohol (DUI) remains a major contributor to fatal traffic crashes worldwide. With increasing regulatory pr...

The dual effects of individual and contextual factors on adolescent problematic internet use: Machine learning approaches and SHAP explanations.

PURPOSE: This study applied the Interaction of Person-Affect-Cognition-Execution (I-PACE) model and the Relational Development System Theory (RDS) to ...

Occupational Heat Stress in Industrial Workers: Modifiable Predictors and Machine Learning Risk Classification in Northeast India.

BACKGROUND: Occupational heat stress poses a growing threat to worker health and productivity in low- and middle-income countries. This study investig...

PVA/AgNP hydrogel SERS substrate combined with machine learning for highly sensitive detection of organic selenium species.

Accurate detection of organic selenium species in soil and water is essential for preserving ecological safety and protecting human health. The perfor...

Position Paper: IOlBD Evidence-based Consensus on the Use of Artificial Intelligence for Assessment of Endoscopic and Histologic Endpoints in Clinical Trials of Inflammatory Bowel Disease.

BACKGROUND & AIMS: Central reading of endoscopy and histopathology is the current standard for disease activity assessment in inflammatory bowel disea...

Bioactive polyvinyl alcohol/chitosan films with novel streblus asper leaves- derived cellulose nanocrystals and Hygrophila auriculata oil for prolonging the shelf life of grapes: Machine learning modeling, and experimental approach.

Interest in bio-based nanocomposites made from natural resources has increased as a result of the growing need for environmentally friendly and biodeg...

Artificial intelligence-powered models in predicting mortality in maternal, newborn, and children under five: a systematic review protocol.

BACKGROUND: Maternal, newborn, and under-five mortality remain significant global health challenges, with 287,000 maternal deaths reported in 2020 and...

Assessing the clinical competence of large language models for tobacco use disorder: A multi-domain expert evaluation.

BACKGROUND: Tobacco use disorder (TUD) remains the leading preventable cause of death globally, yet fewer than one-third of users receive guideline-co...