Latest AI and machine learning research in addictions for healthcare professionals.
BACKGROUND: While AI-assisted polyp detection has advanced significantly, comprehensive AI-based colonoscopy quality assessment tools remain limited. This study aimed to externally validate an AI-based colonoscopy quality assessment tool (AI-CQ) in Japanese clinical practice. METHODS: This retrospective study analyzed 40 screening colonoscopy procedures at a tertiary endoscopy hospital in Japan. A...
The Neural Craving Signature (NCS), a machine learning derived neuroimaging biomarker, differentiates individuals with from those without substance use disorders (SUDs), but has not been evaluated for predicting clinical outcomes. In a secondary analysis, we applied the NCS to fMRI cue-reactivity data from 39 participants in a published, negative RCT of repetitive transcranial magnetic stimulation...
BACKGROUND: The memory assessment pathway (MAP) for people with subjective memory deficits (dementia, mild cognitive impairment, and other diagnoses) ...
As the population ages, the need for accessible and effortless human-machine interaction (HMI) systems tailored to elderly users has grown rapidly. Ho...
INTRODUCTION: Multiple screen addiction is a growing public health problem, especially among young people. Early detection and classification of scree...
The automated discovery of chemical and catalytic reactions remains a major challenge in computational chemistry, particularly in complex systems wher...
Oasis ecosystems, vital for water and food security in arid and semi-arid regions, are highly susceptible to degradation from climatic stress, fragile...
Drawing on the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, this study addresses a current gap in the understanding of how affecti...
OBJECTIVES: To explore the correlation of tea consumption with risks of gastrointestinal diseases using a risk prediction model integrating interpreta...
BACKGROUND: The illegal use of opioids has emerged as a major global public health concern, contributing to widespread addiction and a growing number ...
BACKGROUND: Chronic atrophic gastritis (CAG) is a significant precancerous condition of gastric cancer (GC). CAG often lacks typical symptoms in its e...
BACKGROUND: British Columbia (BC), Canada, continues to experience persistently high rates of unregulated drug toxicity. While the presence of fentany...
PURPOSE: Chest X-rays (CXRs) are essential in trauma care but have limited sensitivity for rib fracture detection, leading to frequent missed diagnose...
BACKGROUND: Patients prescribed opioids who are at high risk for misuse but don't meet diagnostic criteria for opioid use disorder (OUD) fall into a c...
Clinical psychology is a discipline reliant on self-reports but uniquely susceptible to specific biases associated therewith. Here we provide a protot...
Bridging biological and artificial systems, intelligent interfaces drive the demand for flexible electronics that emulate the skin's multifunctionalit...
Hydrogel sensors have gained significant attention in recent years due to their ability to detect various stimuli. This work first employs a "one-pot ...
BACKGROUND: This study aims to investigate the association between leukocyte telomere length (LTL) and the risk of incident NDDs using a large-scale c...
Methamphetamine dependence poses a significant global health challenge, yet its assessment and the evaluation of treatments like repetitive transcrani...
Noise-induced hearing loss (NIHL) is a complex disorder arising from the interplay between noise, as well as contributions from other environmental an...