Domestic Violence

Lateral flow assays for rapid detection of drugs of abuse: A review focusing on nanomaterial labels and intelligent analysis.

Drug abuse poses a severe threat to public health and societal security, necessitating the development of simple, fast, portable, and highly sensitive detection methods. Lateral flow assays (LFAs) have drawn considerable attention due to their ease of use, cost-effectiveness, and rapid results, making them suitable for point-of-care testing. This review summarizes recent advances in LFAs for detec...

Assessing the clinical deployability of AI tools for caries detection: A structured narrative synthesis and proposed framework.

OBJECTIVE: To synthesise how studies evaluating AI-based caries detection on bitewing radiographs report evidence relevant to real-world clinical use beyond discrimination metrics (e.g., sensitivity, specificity, and area under the curve [AUC]), and to propose a structured appraisal framework for assessing clinical deployability. METHODS: We conducted a structured narrative synthesis of peer-revie...

Application of Health Examination in Early Screening of Tumors.

Early detection of tumors constitutes a cornerstone of cancer prevention and control. Medical assessments alongside emerging screening modalities prov...

Prospects and Challenges of Personalized Immunotherapy in Breast Cancer Treatment and Long-term Cancer Management.

Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While signifi...

PyRMD Studio: A Unified Suite for Next-Generation, AI-Powered Virtual Screening.

Artificial Intelligence (AI) has become a cornerstone of modern drug discovery. Yet, its widespread adoption is often hindered by the steep learning c...

Detection of Posttraumatic Stress Disorder With Rest-Activity Data: Machine Learning Approach Using Wearable and Self-Report Data.

BACKGROUND: Growing evidence suggests that disruptions in rest-activity rhythms may serve as relevant markers of posttraumatic stress disorder (PTSD)....

Automated Safety Testing and Reporting Application for Conversational Safety Monitoring of Generative AI Tools for Mental Health: Development and Validation Study.

BACKGROUND: Artificial intelligence (AI)-based conversational tools are rapidly expanding within mental health care as a means of increasing access an...

The association of early life experiences with prenatal depression: A machine learning-based predictive model.

BACKGROUND: Prenatal depression is highly prevalent and associated with early-life adversities like adverse childhood experiences (ACEs) and school bu...

Artificial intelligence-assisted integrated care to promote colonoscopy uptake (AICC) in China: study protocol for a cluster randomized controlled trial.

BACKGROUND: Colorectal cancer (CRC) leads to heavy disease and economic burdens globally. Early screening such as colonoscopy has been demonstrated to...

The evolving PI-RADS paradigm.

Prostate MRI is central to the diagnostic pathway for prostate cancer (PCa), reducing unnecessary biopsies, improving the detection of clinically sign...

Exploring the Psychological Mechanisms of Self-Aggression in Male Individuals with Substance Use Disorders: A Study Combining Interpretability Automated Machine Learning and Conditional Process Model.

Background: Individuals with substance use disorders often exhibit self-aggressive behaviors, which are linked to childhood trauma, the psychological ...

A Doubly Robust Machine Learning Procedure to Estimate Disparities by Race/Ethnicity and Sex in the Relationship Between Adverse Childhood Experiences and Suicidality.

OBJECTIVE: Suicide is a leading cause of death among youth, and adverse childhood experiences (ACEs) are established risk factors for suicidality. Thi...

Radiation biomarker screening and dose reconstruction based on machine learning.

PURPOSE: Nuclear emergency medical rescue is a critical component of the nuclear emergency response system, playing a vital role in safeguarding publi...

Air pollution-related health impacts from domestic waste burning and associated interventions: the merits of a traditional versus machine learning scoping review methodology.

Regularly updating repositories of air pollution impacts on health is essential for evidence-based policies, interventions, and progress monitoring. H...

Artificial intelligence for risk-stratified breast cancer screening: a systematic review of evidence, clinical integration, and ethical implications in risk assessment tools.

BACKGROUND: Conventional age-based breast cancer screening ignores substantial inter-individual risk variation, contributing to overdiagnosis, false p...

Machine Learning-Based Soft Voting Ensemble Model for the Prediction of Oral Drug-Likeness of Chemical Structures.

Drug discovery is a costly process with low success rates. Early prioritization of compounds based on drug-likeness estimation can help reduce attriti...

Artificial Intelligence Based High Resolution Melting Analysis for Comprehensive Calreticulin Mutation Screening and Novel Variant Detection in Myeloproliferative Neoplasms.

INTRODUCTION: Current CALR mutation screening in myeloproliferative neoplasms (MPNs) faces a trade-off between coverage and cost: allele-specific qPCR...

Consensus statement on the application of artificial intelligence in osteoporosis screening and management: perspectives from the Asia-Pacific region.

UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it remains widely underdiagnosed and undertreated due ...

Use of Artificial Intelligence in prostate MRI: A rapid scoping review highlighting limited evidence in screening context.

BACKGROUND AND OBJECTIVE: Artificial Intelligence (AI) is seen as a potential solution to alleviate workforce demands arising from growing use of magn...

Diagnostic accuracy of AI-assisted point-of-care ultrasound for abdominal free fluid detection in FAST trauma assessment: a systematic review and meta-analysis.

STUDY OBJECTIVE: Point-of-care ultrasound (PoCUS) is widely used in trauma care through the Focused Assessment with Sonography for Trauma (FAST) proto...