Psychiatry

Addictions

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

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Chinese acupoint therapies in cancer pain management: research advances and future perspectives.

Cancer pain management (CPM) is crucial in oncology care, with current approaches including pharmaco...

Sustainable water allocation under climate change: Deep learning approaches to predict drinking water shortages.

Addressing sustainable urban water supply has become one of the most critical challenges for modern ...

Predictors of smartphone addiction in adolescents with depression: combing the machine learning and moderated mediation model approach.

Smartphone addiction (SA) significantly impacts the physical and mental health of adolescents, and c...

Automating the Addiction Behaviors Checklist for Problematic Opioid Use Identification.

IMPORTANCE: Individuals whose chronic pain is managed with opioids are at high risk of developing an...

Sarcopenia and frailty: An in-depth analysis of the pathophysiology and effect on liver transplant candidates.

Cirrhosis represents the end stage of chronic liver disease, significantly reducing life expectancy ...

Facial emotion based smartphone addiction detection and prevention using deep learning and video based learning.

Smartphone addiction among students has emerged as a critical issue, negatively impacting their acad...

Activation of the Carotid Body by Kappa Opioid Receptors Mitigates Fentanyl-Induced Respiratory Depression.

Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks i...

BoostDILI: Extreme Gradient Boost-Powered Drug-Induced Liver Injury Prediction and Structural Alerts Generation.

Over the past 60 years, drug-induced liver injury (DILI) has played a key role in the withdrawal of ...

Classification of internet addiction using machine learning on electroencephalography synchronization and functional connectivity.

BACKGROUND: Internet addiction (IA) refers to excessive internet use that causes cognitive impairmen...

Sociodemographic Profile of People with Diagnosed Pancreatic Cancer in the UK: Retrospective Sentinel Network Cohort Study.

Pancreatic cancer is a devasting disease which is an increasing cause of cancer mortality. The aim o...

Past, Present and Future Perspectives of Forensic Genetics.

Forensic genetics has experienced remarkable advancements over the past decades, evolving from the a...

Neural Networks and Chemical Messengers: Insights into Tobacco Addiction.

This study investigates changes in resting-state networks (RSNs) associated with tobacco addiction (...

The Rise of Clinical Decision Support Algorithms in Pain Management 2009-2024.

This paper examines the rise of clinical decision support algorithms used to assess risk in pain man...

Construction of disability risk prediction model for the elderly based on machine learning.

The study aimed to develop a predictive model using machine learning algorithms, providing healthcar...

Development and Validation of Machine Learning Algorithms for Predicting Prolonged Postoperative Opioid Use in Spinal Metastatic Disease.

Introduction: Operative management of spinal metastatic disease is largely for symptom palliation an...

[Role of Artificial Intelligence in Improving Quality of Colonoscopy].

Colorectal cancer is a common malignancy and a major health concern in Korea. Although colonoscopy i...

Identifying responders to gabapentin for the treatment of alcohol use disorder: an exploratory machine learning approach.

BACKGROUND: Gabapentin, an anticonvulsant medication, has been proposed as a treatment for alcohol u...

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