AIMC Topic: Alcoholism
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Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study.
The Lancet. Digital health
Jun 1, 2022
BACKGROUND: Substance misuse is a heterogeneous and complex set of behavioural conditions that are highly prevalent in hospital settings and frequently co-occur. Few hospital-wide solutions exist to comprehensively and reliably identify these conditi...
Accelerated Aging of the Amygdala in Alcohol Use Disorders: Relevance to the Dark Side of Addiction.
Cerebral cortex (New York, N.Y. : 1991)
Jun 10, 2021
Here we assessed changes in subcortical volumes in alcohol use disorder (AUD). A simple morphometry-based classifier (MC) was developed to identify subcortical volumes that distinguished 32 healthy controls (HCs) from 33 AUD patients, who were scanne...
Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2019
OBJECTIVE: Alcohol misuse is present in over a quarter of trauma patients. Information in the clinical notes of the electronic health record of trauma patients may be used for phenotyping tasks with natural language processing (NLP) and supervised ma...
[Can artificial intelligence be used for assessing a patient with alcohol dependence?].
Presse medicale (Paris, France : 1983)
Jan 1, 2018
Medicinal Mushroom Cracked-Cap Polypore, Phellinus rimosus (Higher Basidiomycetes) Attenuates Acute Ethanol-Induced Lipid Peroxidation in Mice.
International journal of medicinal mushrooms
Jan 1, 2015
Alcohol abuse and alcoholism remain one of the major health issues worldwide, especially in developing countries. The protective effect of Phellinus rimosus against acute alcohol-induced lipid peroxidation in the liver, kidney, and brain as well as i...
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