Latest AI and machine learning research in addictions for healthcare professionals.
BACKGROUND: Socially assistive robots (SARs) have been proposed as a tool to help individuals who ha...
The article presents a research in the field of complex sensing, detection, and recovery of communic...
Comparative outcome studies investigating internal Double-J (DJ) and externalized stents have prima...
Although single-port robot-assisted radical prostatectomy (SP-RARP) is considered a safe and feasib...
Ubiquitous health management (UHM) is vital in the aging society. The UHM services with artificial i...
Land use (LU) changes caused by urbanization, climate, and anthropogenic activities alter the supply...
Efforts at finding potential biomarkers of tolerance after kidney transplantation have been hindered...
We report structural and dynamical properties of liquid water described by the random phase approxim...
The hypoxia in solid tumors is associated with the resistance to chemo/radiotherapy. Hypoxia-induci...
An objective measure of pain remains an unmet need of people with chronic pain, estimated to be 1/3 ...
To assist patients with restricted mobility to control wheelchair freely, this paper presents an eye...
We discuss the dynamical robustness of biological networks represented by directed graphs, such as n...
: Experiences with psychedelic drugs, such as psilocybin or lysergic acid diethylamide (LSD), are so...
As an important bio-based chemical, methyl levulinate (ML) can be produced enzymatic esterification...
Suction during robotic surgery has traditionally been performed by a bedside assistant. Adequately ...
Most computational predictive models are specifically trained for a single toxicity endpoint and lac...
A key challenge to gaining insight into complex systems is inferring nonlinear causal directional re...
BACKGROUND: The clinical impact of postoperative opioid use requires accurate prediction strategies ...
The aim of this study was to apply artificial neural networks as deep learning tools in establishing...
Mutational effects predictions continue to improve in accuracy as advanced artificial intelligence (...
Health system data incompletely capture the social risk factors for drug overdose. This study aimed ...