Latest AI and machine learning research in devices and vaccines for healthcare professionals.
BACKGROUND: Numerous long-term results for both medial and lateral unicondylar knee arthroplasty (UK...
BACKGROUND: Multiple viral warts represent a frustrating challenge for both patients and physicians....
PURPOSE: To develop and evaluate the accuracy of a computer-assisted system based on artificial inte...
BACKGROUND: Immunization is a significant public health intervention to reduce child mortality and m...
OBJECTIVE: To report the clinical validation of an innovative, artificial intelligence (AI)-powered,...
Gesture recognition is critical in the field of Human-Computer Interaction, especially in healthcare...
The growing demand for rapid, portable, and economical detection methods for environmental analysis ...
To evaluate the safety and outcomes of robot-assisted electrode insertion in cochlear implantation....
Continuous deep brain stimulation (DBS) of the ventral striatum (VS) is an effective treatment for s...
To adapt and extend an existing typology of vaccine misinformation to classify the major topics of ...
The optimal 3D positioning of the prosthesis components is of great importance for the stability and...
Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as good as...
Although artificial intelligence (AI) has been a focus of medical research for decades, in the last ...
During common surgical tasks related to orthopedic applications, it is necessary to carefully manipu...
Metal artifacts are very common in CT scans since metal insertion or replacement is performed for en...
We have designed, constructed, and utilized a charge-coupled device system, integrated with a small ...
Convolutional neural networks (CNNs), a particular type of deep learning architecture, are positione...
Consumer wearables can provide objective monitoring of movement disorders and may identify new pheno...
This paper presents a convolutional neural network-based classification of the hand flexion and exte...
AIMS: The aim of this study was to evaluate the ability of a machine-learning algorithm to diagnose ...
We report the use of a bone-anchored, self-contained robotic arm with both sensory and motor compone...