AIMC Journal:
Substance use & addiction journal

Artificial intelligence (AI) is embedded in addiction scholarship, not only as a methodological tool in research but also as a tool for manuscript preparation. In addiction research and clinical care, AI is already used to analyze data and support cl...

Machine learning (ML) models have been commonly utilized to predict various opioid-related outcomes and risks, including post-operative opioid use, opioid use disorder (OUD), misuse, or overdose. Despite their promising performance, the clinical util...

BACKGROUND: This scoping review aimed to characterize natural language processing (NLP) techniques deployed for identifying substance use in electronic health records (EHRs) and to compare the performance of these techniques by substance type. METHOD...