Latest AI and machine learning research in addictions for healthcare professionals.
Most operant conditioning circuits predominantly focus on simple feedback process, few studies consi...
Mosquito vectors of pathogens (e.g., Aedes, Anopheles, and Culex spp. which transmit dengue, Zika, c...
Direct and consistent monitoring of respiratory patterns is crucial for disease prognostication. Alt...
The world has a higher count of death rates as a result of Alcohol consumption. Identification is po...
BACKGROUND: The growing availability of big data spontaneously generated by social media platforms a...
Suicide research is directed at understanding social, economic, and biological causes of suicide tho...
The risk behaviors underlying the most prevalent chronic noncommunicable diseases (NCDs) encompass a...
BACKGROUND: Persistent opioid use is a common occurrence after surgery and prolonged exposure to opi...
INTRODUCTION: This paper outlines the steps necessary to assess the latest developments in artificia...
Can Electronic Health Records (EHR) predict opioid misuse in general patient populations? This resea...
BACKGROUND: Burnout is usually defined as a state of emotional, physical, and mental exhaustion that...
We developed three machine learning models that predict hour-by-hour probabilities of a future lapse...
Little is known about the association of social media and belief in alcohol and cancer with binge dr...
Unexpected metabolism could lead to the failure of many late-stage drug candidates or even the withd...
The commercial wasabi pastes commonly used for food preparation contain a homologous compound of che...
Accurate segmentation of skin lesions in dermoscopic images is of key importance for quantitative an...
Artificial intelligence (AI) has the potential to aid in the diagnosis and management of alcohol-ass...
Breast cancer remains a significant contributor to cancer-related deaths among women globally. We se...
BACKGROUND: Transthoracic echocardiography (TTE) is essential in the diagnosis of cardiovascular dis...
As a common and critical medical image analysis task, deep learning based biomedical image segmentat...
Poor pain alleviation remains a problem following orthopedic surgery, leading to prolonged recovery ...