Latest AI and machine learning research in health policy for healthcare professionals.
BACKGROUND/AIM: Postoperative urinary incontinence (UI) after robot-assisted radical prostatectomy (...
The coded aperture compressive temporal imaging (CACTI) modality is capable of capturing dynamic sce...
BACKGROUND: Assessing working posture risks is important for occupational safety and health. However...
BACKGROUND: Correct delineation of organs at risk (OARs) is an important step for radiotherapy and i...
The history of medicine is punctuated by conquests, discoveries and revolutions. It is also marked b...
BACKGROUND: Several recent studies have reported that deep learning reconstruction "TrueFidelity" (T...
Light field imaging is a way to represent human vision from a computational perspective. It contains...
Recent advancements in artificial intelligence (AI) in the domain of radiation therapy (RT) and thei...
STUDY QUESTION: What are the factors associated with human blastocyst spontaneous collapse and the c...
INTRODUCTION: Robotic cholecystectomy (RC) is a recent innovation in minimally invasive gallbladder ...
As an indicator measured by incubating organic material from water samples in rivers, the most typic...
Chronic wounds have significant impacts on patient health-related quality of life (HRQoL) and the he...
Artificial intelligence/machine learning models are being rapidly developed and used in clinical pra...
Objective To evaluate the effect of a deep learning reconstruction (DLR) method on the visibility of...
Quality control of special steel is accomplished through visual inspection of its microstructure bas...
Previous studies have described inductive tongue computer interfaces (ITCI) as a way to manipulate a...