Rationale The development of the complex thinking meta-competency in the education of
university students potentially promotes high capacities, where artificial intelligence (AI) …

Background Opioid and substance misuse has become a widespread problem in the United
States, leading to the “opioid crisis.” The relationship between substance misuse and mental …

Background The growing availability of big data spontaneously generated by social media
platforms allows us to leverage natural language processing (NLP) methods as valuable …

Monitoring public sentiment via social media is potentially helpful during health crises such
as the COVID-19 pandemic. However, traditional frequency-based, data-driven neural …

Background: Substance use disorder and associated deaths have increased in the United
States, but methods for detecting and monitoring substance use using rapid and unbiased …

From 2018 to 2021, seizures of counterfeit oxycodone pills containing non-pharmaceutical
fentanyl or other novel synthetic opioids increased significantly contributing to continuing …

Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and
Clinics compiles current research on Artificial Intelligence within medical subspecialties …

Predictive machine learning (ML) models are computational innovations that can enhance
medical decision-making, including aiding in determining optimal timing for discharging …

Sustainable Development Goals (SDGs) give the UN a road map for development with
Agenda 2030 as a target. SDG3" Good Health and Well-Being" ensures healthy lives and …

Background While FDA-approved treatments exist for opioid use disorder, none are
available for stimulant use disorder. Kratom (Mitragyna speciosa), an unregulated plant …