Latest AI and machine learning research in addictions for healthcare professionals.
Thermography, as a harmless modality, thanks to its low equipment complexity in parallel with quick ...
Urbanisation is a key aspect of land use change (LUC), and accurately modelling of urban LUC is cruc...
Polychlorinated biphenyls (PCBs) are persistent organic pollutants and endocrine disruptors that hav...
Gabapentin and pregabalin are well-tolerated medications primarily cleared by the kidney. Patients ...
BACKGROUND: Alcohol use disorder (AUD) is one of the most common substance use disorders. People wit...
The opioid epidemic has cast a shadow over public health, necessitating immediate action to address ...
It has long been established that occupational therapists (OTs) play an important role in assisting ...
Spider angiomas are dilated vascular channels in the skin. They have a central arteriole with surrou...
Viral diseases are a severe public health issue worldwide. During the coronavirus pandemic, the use ...
Stress monitoring is an important area of research with significant implications for individuals' ph...
Mental stress is an increasingly common psychological issue leading to diseases such as depression, ...
Anatomical segmentations generated using artificial intelligence (AI) have the potential to signific...
Robotic assisted (RA) retroperitoneal lymph node dissection (RPLND) has grown in popularity as it of...
BACKGROUND: Mood disorders and schizophrenia affect millions worldwide. Currently, diagnosis is prim...
The present study sought to leverage machine learning approaches to determine whether social determi...
Methadone is an opioid receptor agonist with a high potential for abuse. The current study aimed to ...
BACKGROUND: American Indian (AI) adolescents report earlier initiation and higher rates of cannabis ...
PURPOSE: This study aims to examine a second-order latent variable of family functioning built from ...
Artificial intelligence (AI) has begun to affect nearly every aspect of our daily lives and nearly e...
Neuroprognostication following acute brain injury (ABI) is a complex process that involves integrati...
We develop an approach to estimate a blood alcohol signal from a transdermal alcohol signal using ph...