Psychiatry

Addictions

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

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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...

May 2025 40376927
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...

May 2025 40380668
Neural Networks and Chemical Messengers: Insights into Tobacco Addiction.

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

May 2025 40358824
Past, Present and Future Perspectives of Forensic Genetics.

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

May 2025 40427606
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...

May 2025 40355787
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...

May 2025 40346175
OXSeg: Multidimensional attention UNet-based lip segmentation using semi-supervised lip contours

Lip segmentation plays a crucial role in various domains, such as lip synchronization, lipreading,...

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...

May 2025 40340556
Depolarization block induction via slow NaV1.1 inactivation in Dravet syndrome

Dravet syndrome is a developmental and epileptic encephalopathy, characterized by the early onset ...

Capturing Conditional Dependence via Auto-regressive Diffusion Models

Diffusion models have demonstrated appealing performance in both image and video generation. Howev...

[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...

Apr 2025 40276831
Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit

Opioid use disorder (OUD) is a leading health problem that affects individual well-being as well a...

Exposure to Content Written by Large Language Models Can Reduce Stigma Around Opioid Use Disorder in Online Communities

Widespread stigma, both in the offline and online spaces, acts as a barrier to harm reduction effo...

Taking out the Toxic Trash: Recovering Precision in Mixed Flow-Sensitive Static Analyses

Static analysis of real-world programs combines flow- and context-sensitive analyses of local prog...

Opioid Named Entity Recognition (ONER-2025) from Reddit

The opioid overdose epidemic remains a critical public health crisis, particularly in the United S...

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...

Mar 2025 40138385
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