Latest AI and machine learning research in addictions for healthcare professionals.
RATIONALE: Car-driving performance is negatively affected by the intake of alcohol, tranquillizers, ...
In this paper, a total of 20 sites of single nucleotide polymorphisms (SNPs) on the serotonin 3 rece...
BACKGROUND: Robotic rehabilitation of stroke survivors with upper extremity dysfunction may yield di...
To identify neuroimaging biomarkers of alcohol dependence (AD) from structural magnetic resonance im...
Machine learning is a well-known approach for virtual screening. Recently, deep learning, a machine ...
BACKGROUND: With the artificial intelligence (AI) paradigm shift comes momentum toward the developme...
It is intriguing how the Hammett equation enables control of chemical reactivity throughout chemical...
Macroporous poly(vinyl alcohol) cryogels (PVACGs) are physical gels formed via cryogenic processing ...
BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically mean...
Alcoholic-related liver disease (ALD) is the cause of more than half of all liver-related deaths. Su...
Despite the adoption of robotic donor nephrectomy, the steep learning curve of robotic recipient tr...
MDMA (methylenedioxymethamphetamine) is a synthetic compound, which is a structurally derivative of...
Sperm cell motility and morphology observed under the bright field microscopy are the only criteria ...
BACKGROUND: Transdermal biosensors offer a noninvasive, low-cost technology for the assessment of al...
Opioids play a critical role in acute postoperative pain management. Our objective was to develop ma...
Given the significant cost of alcohol use disorder (AUD), identifying risk factors for alcohol seeki...
BACKGROUND: Acceptance and commitment therapy (ACT) is a pragmatic approach to help individuals decr...
BACKGROUND: Currently, due to the huge progress in the field of information technologies and compute...
INTRODUCTION: The opioid epidemic has altered normative clinical perceptions on addressing both acut...
OBJECTIVE: To develop and validate a machine-learning algorithm to improve prediction of incident OU...
We sought to compare the outcomes of patients who underwent an open robotic ureteroneocystostomy f...