Addictions

Automated detection of severe cerebral edema using explainable deep transfer learning after hypoxic ischemic brain injury.

BACKGROUND: Substantial gaps exist in the neuroprognostication of cardiac arrest patients who remain...

The Digital Transformation of Healthcare Through Intelligent Technologies: A Path Dependence-Augmented-Unified Theory of Acceptance and Use of Technology Model for Clinical Decision Support Systems.

Integrating Artificial Intelligence Clinical Decision Support Systems (AI-CDSSs) into healthcare ca...

New Insights into the Diagnosis and Treatment of Hepatocellular Carcinoma.

Hepatocellular carcinoma remains one of the leading contributors to global cancer mortality, frequen...

Graphene Oxide-Modulated CMC/PVA Films with on-Demand Shape Recovery and Self-Healing Performance.

With the advancement of artificial intelligence technologies, shape-memory polymers (SMPs) have attr...

Uncemented hip arthroplasty and denosumab: increased postoperative dipeptide concentrations and identification of potential new bone turnover biomarkers.

Denosumab is a potent antagonist of RANKL and is widely used to treat severe postmenopausal osteopor...

Cognitive Dysfunction in the Addictions (CDiA): protocol for a neuron-to-neighbourhood collaborative research program.

Substance use disorders (SUDs), including Alcohol Use Disorder, are pressing global public health pr...

Artificial Intelligence (AI)-Driven Approaches to Manage Postoperative Pain, Anxiety, and Psychological Outcomes in Surgical Patients: A Systematic Review.

Postoperative pain, anxiety, and psychological distress significantly impact surgical recovery, yet ...

Lipopolysaccharide-induced abdominal nociception model in adult zebrafish (Danio rerio).

In this study, a behavioral model of LPS-induced abdominal nociception was developed in adult zebraf...

Milk residue concentrations of ivermectin following pour-on administration to pregnant Holstein cows during different dry periods.

This study aimed to compare ivermectin residue concentrations in milk following pour-on administrati...

A Randomized, Blinded, Placebo-Controlled Crossover Study of the Pharmacokinetics and Pharmacodynamics of Naloxone, Naltrexone, and Nalmefene in Methadone-Sedated Working Dogs.

A randomized, blinded, placebo-controlled crossover study was performed with eight professional work...

Identifying emergency department patients at high risk for opioid overdose using natural language processing and machine learning.

INTRODUCTION: Emergency departments (ED) are potential sites for identifying and treating individual...

Efficacy of eprinomectin 5 mg/mL topical solution administered twice pour on at 1 mg per kg body weight against sarcoptic mange (Sarcoptes scabiei) in sheep.

Sarcoptic mange of sheep is a skin disease which compromises the health and welfare of the animals, ...

Supervised and unsupervised learning reveal heroin-induced impairments in astrocyte structural plasticity.

Astrocytes regulate synaptic activity across large brain territories via their complex, interconnect...

Applying user-centred techniques and expert feedback to refine an AI-based app for addressing mobile gaming addiction in adolescents.

BACKGROUND: The prevalent use of smartphones has contributed to a rise in mobile gaming addiction, e...

Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?

In this viewpoint, we explore the use of big data analytics and artificial intelligence (AI) and dis...

Hybrid Neural network and machine learning models with improved optimization method for gut microbiome effects on the sleep quality in patients with endometriosis.

BACKGROUND AND OBJECTIVE: Endometriosis is a chronic gynecological condition known to affect the qua...

"Amide - amine + alcohol = carboxylic acid." chemical reactions as linear algebraic analogies in graph neural networks.

In deep learning methods, especially in the context of chemistry, there is an increasing urgency to ...

Accelerated brain aging in alcohol users: Insights from machine learning.

Machine learning-assisted strategies to enhance the mechanical properties of PVA hydrogels.

Polyvinyl alcohol (PVA) hydrogels have garnered increasing interest in the field of biomedical mater...

A machine learning approach to investigate the role of fear of pain, personal experience, and vicarious learning in dental anxiety.

BACKGROUND: Dental anxiety is a pervasive problem worldwide, leading to avoidance of dental care, re...

Artificial intelligence models utilize lifestyle factors to predict dry eye related outcomes.

The purpose of this study is to examine and interpret machine learning models that predict dry eye (...