In this narrative review, we survey recent empirical evaluations of AI-based language
assessments and present a case for the technology of large language models to be poised …

In the most comprehensive population surveys, mental health is only broadly captured
through questionnaires asking about “mentally unhealthy days” or feelings of “sadness.” …

Abstract The United States continues to suffer a drug overdose crisis that has resulted in
over 100 000 deaths annually since 2021. Despite decades of attention, estimates of the …

Artificial intelligence (AI) represents a potential moonshot in the drug use field in terms of
primary prevention—that is, preventing drug use initiation—and in reducing morbidities …

We review recent empirical evaluations of AI-based language assessments and present a
case for the technology of large language models, that are used for chatGPT and BERT, to …

PROVIDENT: Development and Validation of a Machine Learning... : Epidemiology PROVIDENT:
Development and Validation of a Machine Learning Model to Predict Neighborhood-level …

Background and Aims Social media can provide real-time insight into trends in substance
use, addiction, and recovery. Prior studies have leveraged data from platforms such as …

Nowcasting based on social media text promises to provide unobtrusive near real-time
predictions of community-level outcomes ranging from subjective well-being and physical …

Executive Summary The United States is currently facing an alarming opioid epidemic, with
overdose deaths rising by over 250% between 1999 and 2019. Synthetic opioids …

The United States is currently facing an alarming opioid epidemic, with overdose deaths
rising by over 250% between 1999 and 2019. Synthetic opioids, polysubstance use, and …