By promising more accurate diagnostics and individual treatment recommendations, deep neural networks and in particular convolutional neural networks have advanced to a …
J Stewart, P Sprivulis, G Dwivedi - Emergency Medicine …, 2018 - Wiley Online Library
Interest in artificial intelligence (AI) research has grown rapidly over the past few years, in part thanks to the numerous successes of modern machine learning techniques such as …
With progress in magnetic resonance imaging technology and a broader dissemination of state-of-the-art imaging facilities, the acquisition of multiple neuroimaging modalities is …
To identify neuroimaging biomarkers of alcohol dependence (AD) from structural magnetic resonance imaging, it may be useful to develop classification models that are explicitly …
A Rosenthal, A Beck, E Zois… - Alcoholism: Clinical …, 2019 - Wiley Online Library
Background Aspects of self‐control such as sensation seeking and impaired impulse control have been implicated in alcohol dependence (ALC). Conversely, sensation seeking has …
Alcohol exposure affects brain structure, but the extent to which its effects differ across development remains unclear. Several countries are considering changes to recommended …
E Adeli, NM Zahr, A Pfefferbaum, EV Sullivan… - Biological Psychiatry …, 2019 - Elsevier
The incidence of alcohol use disorder (AUD) in human immunodeficiency virus (HIV) infection is twice that of the rest of the population. This study documents complex …
While an increased impact of cues on decision‐making has been associated with substance dependence, it is yet unclear whether this is also a phenotype of non‐substance‐related …
In addiction, there are few human studies on the neural basis of cue‐induced changes in value‐based decision making (Pavlovian‐to‐instrumental transfer, PIT). It is especially …