Addictions

Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes.

INTRODUCTION AND OBJECTIVES: Steatotic liver disease (SLD) is a leading cause of liver disease worldwide. Itsstratified into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-associated liver disease (MetALD), and alcohol-associated liver disease (ALD) based on self-reported alcohol use remains a challenge. We developed the Steatosis Liver Index (S...

Spatiotemporal co-occurrence patterns and related risk factors of esophageal and lip and oral cavity cancers among older adults across 203 countries and territories: a machine learning-driven systematic analysis.

BACKGROUND: The country-level co-burden of esophageal cancer and lip and oral cavity cancer (LOC) among older adults remains poorly characterised. We examined global spatiotemporal patterns and associated population-level exposures. MATERIALS AND METHODS: We analyzed Global Burden of Disease 2021 data for adults ≥ 55 years across 203 countries and territories. Incidence rates were classified into ...

Predicting the need for syrinx shunting after posterior fossa decompression in Chiari I malformation: a real-world machine learning analysis.

OBJECTIVE: The aim of this study was to develop and validate a machine learning (ML) algorithm to predict the delayed need for syrinx shunt placement ...

Research on influencing factors of college students' dependence on AI painting tools: A hybrid method based on SEM-ANN.

With the recent advances in technology, AI painting tools have become a mainstream part of digital creation. However, limited research has examined st...

Atomic-Scale Origin of the Cation Field Strength Dependence of Mechanical Properties in Divalent-Cation Aluminosilicate Glasses.

Aluminosilicate glasses are technologically important materials known for their high mechanical strength. However, the atomistic origins of their comp...

Ab Initio Modeling of Aqueous Methanol Mixtures at DFT-SCAN Level Using Machine Learning Interatomic Potentials.

Methanol-water mixtures find use in many applications, particularly catalytic energy conversion processes. Their importance has motivated numerous com...

Advances in New Approach Methodologies at FDA's Division of Applied Regulatory Science.

New Approach Methodologies (NAMs) represent a paradigm shift in drug development and regulatory science, offering human-relevant alternatives to tradi...

Implementation of an opioid use disorder (OUD) machine-learning phenotype in real-time for the ADAPT clinical trial.

We developed and deploy a real‑time, electronic health record‑integrated machine learning phenotype to identify emergency department patients with opi...

Post-traumatic Psychopathology and Cardiovascular Risk: A Danish Case-Control Study of Sex-Specific Associations.

BACKGROUND: There is increasing recognition that trauma exposure and related psychiatric consequences predict cardiovascular disease risk. However, mo...

A unified model of short- and long-term plasticity: Effects on network connectivity and information capacity.

Activity-dependent synaptic plasticity is a fundamental learning mechanism that shapes the connectivity and activity of neural circuits. Existing comp...

[Aspettative dei pazienti nei confronti di un sistema informatizzato di supporto decisionale clinico basato sull'intelligenza artificiale per migliorare la continuità delle cure dopo il ricovero ospedaliero: uno studio trasversale sulla riabilitazione dopo la protesi totale dell'anca o del ginocchio per l'osteoartrite, con questionario pilota.].

Riassunto. La frammentazione delle cure post-dimissione è un problema frequente per i pazienti sottoposti a interventi di chirurgia maggiore. I sistem...

Examining Increased Ritalin and Adderall Use Among Low-Income People Who Use Drugs: Mixed Methods Study.

BACKGROUND: Popular discourse often frames prescription stimulants Ritalin and Adderall as drugs for teens and emerging adults with greater financial ...

Feasibility of a Stool State Check App Using AI During Bowel Preparation Before Colonoscopy: Multicenter Prospective Study (SCAN Study).

BACKGROUND: Optimal bowel preparation (BP) is crucial for a successful colonoscopy. Although multiple factors influence BP quality, including patient ...

Utilizing BERTopic modeling for concept discovery in the domain of gerotranscendence and solitude.

BACKGROUND: Ontology development is a complex, iterative process that traditionally requires extensive collaboration between ontology developers and s...

An Alternative Approach for Detecting Problematic Alcohol Use: Developing the Student Alcohol Risk Assessment Scale-15 Using AI-Assisted Machine Learning.

BACKGROUND/AIM: Risky alcohol use is common among university students and negatively impacts physical and psychosocial health. Current screening instr...

Development of a Prognostic Survival Risk Score for Lung Cancer Patients With Type 2 Diabetes Mellitus: A Territory-Wide Retrospective Cohort Study.

BACKGROUND: Lung cancer is a leading cause of cancer-related mortality, and its prognosis is often affected by comorbidities such as type 2 diabetes m...

A data-driven approach to hepatitis C forecasting using machine learning and epidemiological models.

The hepatitis C virus is a significant global health concern and a major cause of chronic liver disease. Therefore, developing a mathematical model is...

Artificial intelligence in Latin American hepatology: current evidence, implementation barriers, and strategic priorities.

Chronic liver diseases are an increasing cause of morbidity and mortality in Latin America, driven by the convergence of alcohol and metabolic-associa...

Risk Assessment in MASLD and MetALD: Current Approaches and Future Directions.

Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction and alcohol-related liver disease (MetALD) exist on a conti...

Latent profiles of generative artificial intelligence use among Chinese college students: Associations with depression and anxiety.

BACKGROUND: While generative artificial intelligence (GenAI) has been rapidly adopted by college students, its relationship with mental health remains...