Latest AI and machine learning research in addictions for healthcare professionals.
INTRODUCTION: Accurate data regarding opioid use, overdose, and treatment is important in guiding co...
BACKGROUND: Evidence demonstrates that seeing alcoholic beverages in electronic media increases alco...
BACKGROUND: Timely, precise, and localized surveillance of nonfatal events is needed to improve resp...
To date, few programs that integrate traditional practices with evidence-based practices have been d...
Mesoporous CoO (meso-CoO)-supported Pt (0.53Â wt.% Pt/meso-CoO) was synthesized via the KIT-6-templat...
A growing literature is utilizing machine learning methods to develop psychopathology risk algorithm...
Chronic and recurrent opiate use injuries brain tissue and cause serious pathophysiological changes ...
: Among the Gastrointestinal (GI) Endoscopy Editorial Board top 10 topics in advances in endoscopy i...
A typical challenge in air pollution epidemiology is to perform detailed exposure assessment for ind...
This study evaluated prediction performance of three different machine learning (ML) techniques in p...
Adverse effects induced by drug-drug interactions may result in early termination of drug developmen...
IMPORTANCE: Automatic curation of consumer-generated, opioid-related social media big data may enabl...
OBJECTIVES: Opioid-free anaesthesia is a treatment strategy of pain management based on the use of d...
BACKGROUND: Current modes of identifying alcohol misuse in hospitalized patients rely on self-report...
A commentary by Thoemmes on Wiedermann and Sebastian's introductory article on Direction Dependence ...
This paper presents a novel adaptive resonance theory (ART)-based modular architecture for unsupervi...
The palmyra palm Mart. grow wild and gives natural stands in several localities of central-eastern ...
INTRODUCTION: This article proposes a novel method for matching places based on visual similarity, u...
Internet gaming disorder in adolescents and young adults has become an increasing public concern bec...
There is a growing need to address the variability in detecting cognitive deficits with standard tes...
 Artificial intelligence (AI) integrated circuits (IC) have memory devices as the key component. Due...