Psychiatry

Addictions

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

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Towards artificial intelligence application in pain medicine.

Pain is a complex, multidimensional experience involving significant challenges in both diagnosis an...

Leveraging artificial intelligence-mediated communication for cancer prevention and control and drug addiction: A systematic review.

OBJECTIVE: To conduct a systematic review on Artificial Intelligence-Mediated Communication (AIMC) b...

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...

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...

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...

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...

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...

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...

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

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

[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...

Effect of artificial intelligence implementation to the latest generation 4K colonoscopy.

<b>Indroduction:</b> Colonoscopy is an acclaimed screening test to detect colorectal can...

Implementation of a Clinical, Patient-Level Dashboard at a Mental Health Hospital: Lessons Learned from Two Pilot Clinics.

The Centre for Addiction and Mental Health has implemented mechanisms to standardize routine data co...

Annotation of Opioid Use Disorder Entity Modifiers in Clinical Text.

Natural Language Processing can be used to identify opioid use disorder in patients from clinical te...

Development of the lyrics-based deep learning algorithm for identifying alcohol-related words (LYDIA).

BACKGROUND: Music is an integral part of our lives and is often played in public places like restaur...

Understanding the Manufacturing Process of Lipid Nanoparticles for mRNA Delivery Using Machine Learning.

Lipid nanoparticles (LNPs), used for mRNA vaccines against severe acute respiratory syndrome coronav...

Multi-omics Combined with Machine Learning Facilitating the Diagnosis of Gastric Cancer.

Gastric cancer (GC) is a highly intricate gastrointestinal malignancy. Early detection of gastric ca...

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