Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Medical device performance and safety databases can be analyzed for patterns and novel opportunitie...
The measures to control the COVID-19 outbreak will likely remain a feature of our working lives unti...
To ultimately combat the emerging COVID-19 pandemic, it is desired to develop an effective and safe ...
Hepatitis C virus (HCV) remains a significant public health challenge with approximately half of the...
Designing a cranial implant to restore the protective and aesthetic function of the patient's skull ...
BACKGROUND: Currently, patient selection in TAVI is based upon a multidisciplinary heart team assess...
Classifiers that can be implemented on chip with minimal computational and memory resources are esse...
Chemical event evolutionary graph (CEEG) is an effective tool to perform safety analysis, early warn...
BACKGROUND: During the COVID-19 pandemic, aerosol-generating procedures such as upper gastrointestin...
PURPOSE: Guidance and quality control in orthopedic surgery increasingly rely on intra-operative flu...
To trial the use of a novel endoscopic robot that functions using concentric tube robots, enabling 2...
Colonoscopy is commonly used to screen for colorectal cancer (CRC). We develop a deep learning model...
Implant-based reconstruction is the most common form of breast reconstruction following mastectomy. ...
A memristor has been proposed as an artificial synapse for emerging neuromorphic computing applicati...
This study aims to develop a prototype of an autonomous robotic device to assist the locomotion of t...
Changing the shape and the stiffness of a device in a dynamic and controlled way enables important a...
BACKGROUND: Continuous photoplethysmography (PPG) monitoring with a wearable device may aid the earl...
In view of the weak generalization of traditional event recognition methods, the limitation of depen...
To distinguish ambiguous images during specimen slides viewing, pathologists usually spend lots of t...
STUDY DESIGN: An iterative design process was used to obtain design parameters that satisfy both kin...
Spiking neural networks (SNN) are computational models inspired by the brain's ability to naturally ...