Latest AI and machine learning research in pain management for healthcare professionals.
To identify protective and risk factors of early postoperative complications after robot-assisted r...
BACKGROUND: Labor pain is one of the most intense pains that a woman experiences. Almost 60% of prim...
BACKGROUND: Total knee replacement (TKR) surgeries are associated with significant postoperative pai...
Recognizing multiple labels of an image is a practical yet challenging task, and remarkable progress...
Traffic speed prediction plays a fundamental role in traffic management and driving route planning. ...
The resident macrophages of the central nervous system, microglia, are becoming increasingly implica...
The use of robots to assist feeding has become important for people with an impaired arm function. Y...
OBJECTIVE:  To summarize the available evidence of TAP Block in efficacy in laparoscopic or robotic ...
Glaucoma disease is optic neuropathy; in glaucoma, the optic nerve is damaged because the long durat...
Optimal management of duplication anomalies may include an upper or lower tract surgical approach. I...
Multivariate time series forecasting has long been a research hotspot because of its wide range of a...
This study was aimed at investigating the location of gastric cancer by using a gastroscope image ba...
Most contemporary drug discovery projects start with a 'hit discovery' phase where small chemicals a...
Due to the wide application of human activity recognition (HAR) in sports and health, a large number...
Abnormalities and defects that can cause lumbar spinal stenosis often occur in the Intervertebral Di...
Employing a continuous-time control algorithm to control the practical system based on discrete-time...
To determine safety and feasibility of single-port Retzius-sparing robot-assisted radical prostatec...
This article presents non-invasive sensing-based diagnoses of pneumonia disease, exploiting a deep l...
Diabetes is a serious metabolic disorder with high rate of prevalence worldwide; the disease has the...
The balanced iterative reducing and clustering using hierarchies (BIRCH) method was adopted to optim...
BACKGROUND: Value sets are lists of terms (e.g., opioid medication names) and their corresponding co...