Psychiatry

Addictions

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

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Showing 190-210 of 2,769 articles
Sampler design for determining the personal exposure level of workers to vapor and mist of benzyl alcohol.

OBJECTIVES: This study aims to develop and validate a sampler to measure workers' exposure to the va...

An artificial intelligence-generated model predicts 90-day survival in alcohol-associated hepatitis: A global cohort study.

BACKGROUND AND AIMS: Alcohol-associated hepatitis (AH) poses significant short-term mortality. Exist...

Deep Learning-Assisted Colorimetric/Electrical Dual-Sensing System for Ultrafast Detection of Hydrogen Sulfide.

This study presents a colorimetric/electrical dual-sensing system (CEDS) for low-power, high-precisi...

Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients.

The utilization of Artificial Intelligence (AI) and Machine Learning (ML) is paving the way for sign...

Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec.

Suicide is a complex, multidimensional event, and a significant challenge for prevention globally. A...

Highly robust reconstruction framework for three-dimensional optical imaging based on physical model constrained neural networks.

. The reconstruction of three-dimensional optical imaging that can quantitatively acquire the target...

Tree-Based Machine Learning to Identify Predictors of Psoriasis Incidence at the Neighborhood Level: A Populational Study from Quebec, Canada.

BACKGROUND: Psoriasis is a major global health burden affecting ~ 60 million people worldwide. Exist...

Artificial intelligence in preventive cardiology.

Artificial intelligence (AI) is a field of study that strives to replicate aspects of human intellig...

Improving the quality of counseling and clinical supervision in opioid treatment programs: how can technology help?

BACKGROUND: The opioid epidemic has resulted in expanded substance use treatment services and strain...

Comparison of hepatitis B and SARS-CoV2 vaccination rates in people who attended Drugs and Addiction Centres.

BACKGROUND AND AIMS: Persons with substance use disorder are at increased risk for hepatitis B virus...

Predicting pedestrian-involved crash severity using inception-v3 deep learning model.

This research leverages a novel deep learning model, Inception-v3, to predict pedestrian crash sever...

Comparison of assistance preferences of older adults with different functional dependence levels on domestic tasks performed by robots.

BACKGROUND: Robots have the potential to assist older adults in their home-based daily living tasks....

Optimizing methadone dose adjustment in patients with opioid use disorder.

INTRODUCTION: Opioid use disorder is a cause for concern globally. This study aimed to optimize meth...

Evaluation of 6 years of eHealth data in the alcohol use disorder field indicates improved efficacy of care.

BACKGROUND: Predictive eHealth tools will change the field of medicine, however long-term data is sc...

Using machine learning and partial dependence to evaluate robustness of best linear unbiased prediction (BLUP) for phenotypic values.

Best linear unbiased prediction (BLUP) is widely used in plant research to address experimental vari...

Development of optimized functional clove fortified probiotic yoghurt.

We focused on assessing the antimicrobial effects of functional yoghurts supplemented with clove and...

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