Latest AI and machine learning research in health policy for healthcare professionals.
Efficient prediction of the air quality response to emission changes is a prerequisite for an integr...
The primary goal of this study was to evaluate the major roles of health-related quality of life (HR...
Loss of cognitive ability is commonly associated with dementia, a broad category of progressive brai...
Classifiers that can be implemented on chip with minimal computational and memory resources are esse...
To analyze predictors of open conversion during minimally invasive partial nephrectomy (MIPN) for c...
Emotional responses are associated with distinct body alterations and are crucial to foster adaptive...
People with disabilities or special needs can benefit from AI-based conversational agents (i.e., ch...
Ophthalmological analysis plays a vital role in the diagnosis of various eye diseases, such as glauc...
The use of intra-operative imaging system as an intervention solution to provide more accurate local...
BACKGROUND: Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) has been shown to improve...
Electroencephalography (EEG) datasets are often small and high dimensional, owing to cumbersome reco...
BACKGROUND: Patients increasingly turn to search engines and online content before, or in place of, ...
Starting renal replacement therapy (RRT) for patients with chronic kidney disease (CKD) at an optima...
For the agricultural food production sector, the control and assessment of food quality is an essent...
BACKGROUND: Robot-assisted laparoscopic pyeloplasty (RALP) is a commonly performed procedure in chil...
Detecting and analyzing patient insights from social media enables healthcare givers to better under...
Oral cancer is easily detectable by physical (self) examination. However, many cases of oral cancer ...
Increased global temperatures and climatic anomalies, such as heatwaves, as a product of climate cha...
Most post-stroke patients experience upper limb functionality challenges. Emergent therapies using u...
We propose a machine learning driven approach to derive insights from observational healthcare data ...
Human action recognition is an important research area in the field of computer vision that can be a...