Latest AI and machine learning research in ethics for healthcare professionals.
We present a computer-aided diagnosis system (CADx) for the automatic categorization of solid, part-...
Diabetic retinopathy (DR) causes blindness in the working age for people with diabetes in most count...
BACKGROUND AND OBJECTIVE: The high mortality rate associated with coronary heart disease (CHD) has d...
BACKGROUND: Snake-like robot is an emerging form of serial-link manipulator with the morphologic des...
PURPOSE: The purpose of this study is to compare knee laxity and graft function (tissue force) betwe...
Identification of lymphocyte cell types are crucial for understanding their pathophysiological roles...
This study investigated the prognostic value of coronary computed tomography angiography (cCTA)-deri...
The Lancang-Mekong River is a trans-boundary river which provides a livelihood for over 60 million p...
BACKGROUND: Machine learning algorithms hold potential for improved prediction of all-cause mortalit...
Falls are a major cause of injuries and deaths in older adults. Even when no injury occurs, about ha...
MHC class II molecules play a fundamental role in the cellular immune system: they load short peptid...
Feature extraction for Acoustic Bird Species Classification (ABSC) tasks has traditionally been base...
Disease and trait-associated variants represent a tiny minority of all known genetic variation, and ...
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 20%-40% of the general population in d...
With the rapid development of modern medical imaging technology, medical image classification has be...
OBJECTIVES: This study aims to describe salivary beta-2 microglobulin (sB2M) levels in our setting a...
Soft robots promise an exciting design trajectory in the field of robotics and human-robot interacti...
BACKGROUND: The aim of this study is to evaluate the feasibility and safety of robot-assisted thorac...
BACKGROUND: Segmentation of gliomas in multi-parametric (MP-)MR images is challenging due to their h...
BACKGROUND AND OBJECTIVE: The automatic noninvasive identification of Parkinson's disease (PD) is at...
This paper studies the non-fragile mixed H∞ and passive synchronization problem for Markov jump neur...