Latest AI and machine learning research in addictions for healthcare professionals.
Network representation learning or embedding aims to project the network into a low-dimensional spac...
Deep learning-enabled smartphone-based image processing has significant advantages in the developmen...
In this study, we applied the random forest (RF) algorithm to birth-cohort data to train a model to...
RATIONALE AND OBJECTIVES: Multiparametric magnetic resonance imaging (mpMRI) is increasingly used fo...
BACKGROUND: Acute neurological complications are some of the leading causes of death and disability ...
BACKGROUND: Data-based approaches promise to use the information in cardiovascular signals to diagno...
Many applications of machine-learning methods involve an iterative protocol in which data are collec...
BACKGROUND: Seeing alcohol in media has been demonstrated to increase alcohol craving, impulsive dec...
Unexpected metabolism in modification and conjugation phases can lead to the failure of many late-st...
OBJECTIVES: There has been a longstanding debate about whether the mechanisms involved in problemati...
Process automation, in general, enables the enhancement of productivity, product quality, and consis...
Objective: To develop a standardized model of stretch−crush sciatic nerve injury in mice, and to com...
Transfer learning, which involves repurposing a trained model on a related task, may allow for bette...
In convolutional neural networks (CNNs), generating noise for the intermediate feature is a hot rese...
BACKGROUND AND AIM: Transversus abdominis plane (TAP) block and local anesthetic infiltration (LAI) ...
AIM: We aimed to investigate the combined impact of liver enzymes and alcohol consumption on the dia...
Opioid dependency has been a persistent issue in the United States over the past two decades. Incre...
Identification of small-molecule binding sites in proteins is of great significance in analysis of p...
Excessive withdrawal of groundwater for agricultural irrigation can cause seawater intrusion into co...
The static labels presently prevalent on the food market are confronted with challenges due to the a...
We report the use of robot assistance for computed tomography-guided celiac plexus neurolysis for t...