Latest AI and machine learning research in addictions for healthcare professionals.
BACKGROUND: Early diagnosis and treatment of mental illnesses is hampered by the lack of reliable ma...
BACKGROUND: The exponential growth of digital technologies and the ubiquity of social media platform...
We consider the problem of generalizable novel view synthesis (NVS), which aims to generate photor...
Drug addiction remains a complex global public health challenge, with traditional anti-addiction dru...
Stress affects physical and mental health, and wearable devices have been widely used to detect da...
In medicine, treatments often influence multiple, interdependent outcomes, such as primary endpoin...
Cancer pain management (CPM) is crucial in oncology care, with current approaches including pharmaco...
OBJECTIVE: Building upon our previous work on predicting chronic opioid use using electronic health ...
IMPORTANCE: Individuals whose chronic pain is managed with opioids are at high risk of developing an...
Smartphone addiction (SA) significantly impacts the physical and mental health of adolescents, and c...
Understanding the prevalence of misinformation in health topics online can inform public health po...
Social determinants of health (SDOH) extraction from clinical text is critical for downstream heal...
Accurate diabetes risk prediction relies on identifying key features from complex health datasets,...
This paper introduces ADEPT, a system using Large Language Model (LLM) personas to simulate multi-...
Cirrhosis represents the end stage of chronic liver disease, significantly reducing life expectancy ...
Training large neural networks through gradient-based optimization requires navigating high-dimens...
Large language models (LLMs) like GPT-4 show potential for scaling motivational interviewing (MI) ...
Smartphone addiction among students has emerged as a critical issue, negatively impacting their acad...
Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks i...
Over the past 60 years, drug-induced liver injury (DILI) has played a key role in the withdrawal of ...
Data integration approaches are increasingly used to enhance the efficiency and generalizability o...