Psychiatry

Addictions

Latest AI and machine learning research in addictions for healthcare professionals.

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Showing 988-1008 of 1,263 articles
Deceptive Bias Measurement in Deep Learning: Assessing Shortcut Reliance in TCGA Cancer Models

Bias in machine learning is a persistent challenge because it can create unfair outcomes, limit gene...

Machine learning-driven prediction of opioid and stimulant-related drug overdose fatalities: Analysis of the potential fourth wave

Between 2010 and 2021, fentanyl and stimulants co-involved deaths increased from 0.6% to 32.3% of al...

Heterogeneous epigenetic variation converges on splicing dysregulation in opioid addiction

Disease heterogeneity presents a major challenge for genetic and epigenetic dissection of complex tr...

Implementation of an Opioid Use Disorder (OUD) Machine-Learning Phenotype in Real-Time for the ADAPT Project

Develop and deploy a real-time, EHR-integrated machine learning phenotype to identify emergency depa...

Machine learning augmented genome-wide meta-analysis of prescription opioid use in 860,000 individuals

Opioid analgesics are widely prescribed for pain, yet individuals vary markedly in their patterns of...

Mapping research on ICT addiction: a comprehensive review of Internet, smartphone, social media, and gaming addictions.

INTRODUCTION: The use of information and communication technologies such as the Internet, smartphone...

Jan 2025 40443730
Effectiveness of digital self-care device for at risk drinking problems: focus on individuals at risk for alcohol-related issues.

AIMS: This study was conducted to verify the effectiveness of using digital self-care devices in red...

Jan 2025 40443748
The Hypothalamic Medial Preoptic Area-Paraventricular Nucleus Circuit Modulates Depressive-Like Behaviors in a Mouse Model of Postpartum Depression.

Estrogen fluctuations have been implicated in various mood disorders, including perimenopausal and p...

Jan 2025 40370500
Cytopathological quantification of NORs using artificial intelligence to oral cancer screening.

Oral squamous cell carcinoma (OSCC) remains the most prevalent neoplasm of the head and neck. In rec...

Jan 2025 40367024
Identifying high-dose opioid prescription risks using machine learning: A focus on sociodemographic characteristics.

OBJECTIVE: The objective of this study was to leverage machine learning techniques to analyze admini...

Jan 2025 40326727
Revealing the Self: Brainwave-Based Human Trait Identification

People exhibit unique emotional responses. In the same scenario, the emotional reactions of two in...

Using Instruction-Tuned Large Language Models to Identify Indicators of Vulnerability in Police Incident Narratives

Objectives: Compare qualitative coding of instruction tuned large language models (IT-LLMs) agains...

A Panopticon on My Wrist: The Biopower of Big Data Visualization for Wearables

Big data visualization - the visual-spatial display of quantitative information culled from huge d...

Utilizing RAG and GPT-4 for Extraction of Substance Use Information from Clinical Notes.

This research investigates the application of a hybrid Retrieval-Augmented Generation (RAG) and Gene...

Nov 2024 39575787
[Effect of an artificial intelligence-assisted recognition system on colonoscopy quality].

To explore the value of the artificial intelligence (AI)-assisted recognition system in the detecti...

Nov 2024 39482075
Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning Analysis.

BACKGROUND: The demand for fresh strategies to analyze intricate multidimensional data in neuroscien...

Nov 2024 39576251
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