Latest AI and machine learning research in addictions for healthcare professionals.
Neural networks were tested on infrared images of faces for discriminating intoxicated persons. The ...
The paper presents a methodology for the analysis of functional changes in brain activity across dif...
INTRODUCTION: Robot-assisted laparoscopic prostatectomy (RALP) is being increasingly used. However, ...
Summarize functional outcomes after transoral robotic surgery (TORS) ± adjuvant therapy for orophary...
Objective: Stigmatizing language in the electronic health record (EHR) has been associated with adve...
Machine learning is increasingly applied to species-level biological data, but phylogenetic autocorr...
Machine learning is accelerating biomedical research. Cross-validation is widely used to compare pre...
Human behavioral and mental health outcomes arise from interactions among genetic, environmental, an...
Randomized neural networks (RdNNs) enable efficient, backpropagation-free training by freezing rando...
Background: Large language models (LLMs) are increasingly used in medical education and clinical dec...
Opioid addiction is characterized by escalating drug use, driven in part by negative reinforcement f...
The lack of analytical models describing diffusion time dependence at intermediate time scales in co...
Excessive alcohol consumption remains a major public health challenge with limited therapeutic optio...
The systemic, metabolic, lifestyle factors have established associations with Alzheimer's Disease (A...
Background: Alcohol-induced osteonecrosis of the femoral head (AIONFH) is an orthopedic disorder fro...
Background and Objectives Preoperative prediction of functional outcomes in contrast-enhancing gliom...
Deep learning methods have proved highly effective for classification and image recognition problems...
Visual state-space models (SSMs) have shown strong potential for medical image segmentation, yet the...
Visual state-space models (SSMs) have shown strong potential for medical image segmentation, yet the...
Cardiotoxicity remains a major cause of drug attrition and post-market withdrawal, yet the vast majo...
Background: The Adolescent Brain Cognitive Development (ABCD) Study provides rich longitudinal data ...