Psychiatry

Addictions

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

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Changes in recreational drug use, reasons for those changes and their consequence during and after the COVID-19 pandemic in the UK.

Changes in drug use in the general population during the COVID-19 pandemic and their long-term conse...

Surrogate modeling of electrospun PVA/PLA nanofibers using artificial neural network for biomedical applications.

Blending poly (lactic acid) (PLA) with poly (vinyl alcohol) (PVA) improves the strength and hydrophi...

Grain protein function prediction based on improved FCN and bidirectional LSTM.

With the development of high-throughput sequencing technologies, predicting grain protein function f...

Comparative analysis of functional network dynamics in high and low alcohol preference mice.

Individual variability preference is a typical characteristic of alcohol drinking behaviors, with a ...

Clinical implementation of AI-based screening for risk for opioid use disorder in hospitalized adults.

Adults with opioid use disorder (OUD) are at increased risk for opioid-related complications and rep...

Application of machine learning in predicting adolescent Internet behavioral addiction.

OBJECTIVE: To explore the risk factors affecting adolescents' Internet addiction behavior and build ...

Developing predictive models for ยต opioid receptor binding using machine learning and deep learning techniques.

Opioids exert their analgesic effect by binding to the ยต opioid receptor (MOR), which initiates a do...

Robot-Assisted Stereotactic Microinjection Method for Precision Cell Transplantation in Rat and Canine Models.

Cell transplantation is a promising approach for addressing neurodegenerative conditions. In this st...

Effectiveness of Generative Artificial Intelligence-Driven Responses to Patient Concerns in Long-Term Opioid Therapy: Cross-Model Assessment.

While long-term opioid therapy is a widely utilized strategy for managing chronic pain, many patien...

Remote sensing of alcohol consumption using machine learning speckle pattern analysis.

SIGNIFICANCE: Alcohol consumption monitoring is essential for forensic and healthcare applications. ...

AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women.

Topic modeling is a crucial technique in natural language processing (NLP), enabling the extraction ...

The Mechanism of Bisphenol S-Induced Atherosclerosis Elucidated Based on Network Toxicology, Molecular Docking, and Machine Learning.

The increasing prevalence of environmental pollutants has raised public concern about their potentia...

Explaining electroencephalogram channel and subband sensitivity for alcoholism detection.

Alcoholism, a progressive loss of control over alcohol consumption, deteriorates mental and physical...

Neural Network-Assisted Dual-Functional Hydrogel-Based Microfluidic SERS Sensing for Divisional Recognition of Multimolecule Fingerprint.

To enhance the sensitivity, integration, and practicality of the Raman detection system, a deep lear...

Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline.

While numerous studies strive to exploit the complementary potential of MRI and PET using learning-b...

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring.

Prolonged use of digital devices and sedentary lifestyles have led to an increase in the prevalence ...

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