Psychiatry

Addictions

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

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Computational Systems Pharmacology-Target Mapping for Fentanyl-Laced Cocaine Overdose.

The United States of America is fighting against one of its worst-ever drug crises. Over 900 people ...

Synthesis and Swelling Behavior of Sodium Alginate/Poly(vinyl alcohol) Hydrogels.

OBJECTIVES: Hydrogels are macromolecular networks able to absorb and release water/biological fluids...

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance.

Drug-induced liver injury (DILI), one of the most common adverse effects, leads to drug development ...

Urban American Indian Adult Participation and Outcomes in Culturally Adapted and Mainstream Alcoholics Anonymous Meetings.

Very little is known about American Indian (AI) adults' participation in Alcoholics Anonymous (AA) d...

A Radical Proposition: Opioid-sparing Prostatectomy.

Radical prostatectomy has largely become a procedure requiring a single day in the hospital with imp...

Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data.

PURPOSE: To enhance automated methods for accurately identifying opioid-related overdoses and classi...

A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study.

BACKGROUND: Social media use is now ubiquitous, but the growth in social media communications has al...

Development of Machine Learning Algorithms for Prediction of Sustained Postoperative Opioid Prescriptions After Total Hip Arthroplasty.

BACKGROUND: Postoperative recovery after total hip arthroplasty (THA) can lead to the development of...

Physicochemical stability of nefopam and nefopam/droperidol solutions in polypropylene syringes for intensive care units.

INTRODUCTION: Nefopam has been reported to be effective in postoperative pain control with an opioid...

Development of machine learning algorithms for prediction of prolonged opioid prescription after surgery for lumbar disc herniation.

BACKGROUND CONTEXT: Spine surgery has been identified as a risk factor for prolonged postoperative o...

Salivary microRNAs identified by small RNA sequencing and machine learning as potential biomarkers of alcohol dependence.

Salivary miRNA can be easily accessible biomarkers of alcohol dependence (AD). The miRNA transcrip...

Water quality prediction based on recurrent neural network and improved evidence theory: a case study of Qiantang River, China.

Water quality prediction is an effective method for managing and protecting water resources by provi...

Streptococcus Gallolyticus endocarditis in patient with liver cirrhosis: a case report.

Streptococcus gallolyticus (S. gallolyticus) bacteremia is commonly associated with endocarditis and...

Machine learning for phenotyping opioid overdose events.

OBJECTIVE: To develop machine learning models for classifying the severity of opioid overdose events...

Exon level machine learning analyses elucidate novel candidate miRNA targets in an avian model of fetal alcohol spectrum disorder.

Gestational alcohol exposure causes fetal alcohol spectrum disorder (FASD) and is a prominent cause ...

Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes.

AIM: Out-of-hospital cardiac arrest (OHCA) is a major healthcare burden, and prognosis is critical i...

Identifying as American Indian/Alaska Native in Urban Areas: Implications for Adolescent Behavioral Health and Well-Being.

American Indian and Alaska Native (AI/AN) youth exhibit multiple health disparities, including high ...

Adolescent binge drinking disrupts normal trajectories of brain functional organization and personality maturation.

Adolescent binge drinking has been associated with higher risks for the development of many health p...

Chief complaint classification with recurrent neural networks.

Syndromic surveillance detects and monitors individual and population health indicators through sour...

Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users.

BACKGROUND: In the United States, 13% of adults are estimated to have alcohol use disorder (AUD). Mo...

Applications of machine learning in addiction studies: A systematic review.

This study aims to provide a systematic review of the applications of machine learning methods in ad...

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