Addictions

Loneliness and AI chatbot dependence in young adults: the mediating role of perceived social support.

BACKGROUND AND OBJECTIVES: Rapid advancements in artificial intelligence (AI) have facilitated the widespread integration of AI chatbots into everyday life, positioning them as alternative agents for social and emotional interaction. While such technologies may help regulate experiences of loneliness, stress, and social isolation, increasing reliance on AI-mediated interactions raises concerns reg...

Impact of middle meningeal artery embolization on neurological complications and discharge outcomes in chronic subdural hematoma: A machine learning-based comparative study.

INTRODUCTION: Chronic subdural hematoma (cSDH) predominantly affects older adults, often those with prior head trauma, anticoagulation therapy, or chronic comorbidities. Traditional management involves surgical evacuation; however, middle meningeal artery (MMA) embolization has emerged as a less invasive alternative with the potential for fewer complications. This study compares outcomes of surgic...

Auricular Point Acupressure Self-Management (APA-SM) program for chronic musculoskeletal pain among rural populations: a protocol for a pragmatic, randomized controlled trial.

INTRODUCTION: Chronic musculoskeletal pain (CMP) is a leading cause of incurred personal healthcare costs and disability in the USA. It disproportiona...

Impact of the EILA application on smoking cessation among hospital workers: a randomised controlled trial.

OBJECTIVES: Smoking remains a major preventable cause of lung and cardiovascular disease. This randomised controlled trial evaluated EILA, a mobile ap...

Metabolomic machine learning predictor for the diagnosis of alcohol-associated liver disease.

BACKGROUND: It is urgent to find novel non-invasive biomarkers that can accurately diagnose alcohol-associated liver disease (ALD). The objective of t...

BIDS-formatted resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG dataset from healthy women.

Here, we describe a publicly available electroencephalography (EEG) dataset recorded from 69 healthy women (aged 19-40). Data were acquired using a 64...

Responsible AI Off-Boarding in Radiology: Staff Perspectives on Decommissioning and a Proposed Withdrawal Framework.

PURPOSE: AI governance commonly emphasises procurement, validation, deployment and performance monitoring but lack guidance on how embedded AI tools s...

Behavioral Inhibition Network Predicts Alcohol Use in Men and Stress in Women.

OBJECTIVE: Impulsivity, a complex construct linked to addictions, is often inconsistently assessed and conceptualized, making it difficult to effectiv...

Impact of Availability of Computer-Aided Detection Devices on Adenoma Detection During Colonoscopy: A Cluster Randomized Study.

BACKGROUND AND AIMS: Endoscopists' colonoscopy adenoma detection rates (ADR) are inversely associated with their patients' risk of post-colonoscopy co...

Seawater-groundwater interactions in coastal multi-aquifer systems of Puducherry, India, using combined hydrogeochemical, radon isotope, and unsupervised machine learning approach: Implications for sustainable groundwater management.

Seawater intrusion into freshwater coastal aquifers alters the chemical composition of groundwater due to the dissolution of excess salts and other or...

TASC: a time-aware sequence clustering framework with uncertainty quantification for electronic health record trajectories.

Longitudinal electronic health record (EHR) trajectories are highly heterogeneous, sparse, and irregular, making unsupervised temporal pattern discove...

Machine-learning-assisted screening of key flavor compounds in pumpkins.

BACKGROUND: Pumpkin is an important food source. Its flavor significantly impacts consumer acceptance and market competitiveness. Machine learning (ML...

Longitudinal serum uric acid transition patterns and their clinical, genetic, and dietary determinants: prospective prediction of incident hyperuricemia and gout in a Korean population-based cohort.

BACKGROUND: Longitudinal serum uric acid (SUA) transition patterns and their clinical, genetic, and dietary determinants remain poorly characterized. ...

Patient-specific modeling identifies metabolic interventions for reversing glucose use reprogramming in alcohol-associated hepatitis.

Alcoholic hepatitis (AH) is an acute form of alcohol-associated liver disease with very few treatment options. Recent studies highlighted liver metabo...

Substance-induced manic psychosis in which delusions were corroborated by a chatbot - case report.

BACKGROUND: This case describes a substance-induced manic episode with psychotic features in which interaction with an AI (artificial intelligence) ch...

AI-based prediction of aspirin-exacerbated respiratory disease using nasal epithelial mRNA expression profiles.

BACKGROUND: Aspirin-exacerbated respiratory disease (AERD) is a distinct asthma endotype marked by asthma, nasal polyposis, and respiratory reactions ...

Complex in vitro model developers' perspective on advanced hepatic in vitro culture methods for predictive drug safety.

INTRODUCTION: Adverse drug reactions remain a major barrier to drug development, with hepatotoxicity representing a persistent cause of clinical failu...

Mixed-methods study on GenAI Usage, dependence behaviors, and standardized application paths among Chinese medical students.

Generative artificial intelligence (GenAI) is reshaping medical education while fostering technological dependence among students. This study employed...

Pediatric Clinical Images Without Consent: A Governance Gap in the Long-Term Reuse of Health Data in Digital Health Ecosystems.

Digital health governance frameworks have primarily focused on prospective safeguards, including informed consent at the point of data collection, law...

Carfentanil in the illicit drug supply: A machine learning approach for trace detection using surface-enhanced Raman spectroscopy.

BACKGROUND: Carfentanil is an extremely potent synthetic fentanyl analogue often present at trace levels alongside other fentanyl analogues and long-a...