Latest AI and machine learning research in work force for healthcare professionals.
Current hardware limitations make it impossible to train convolutional neural networks on gigapixel ...
In Japan, there is a growing initiative to construct centralized databases and platforms that can ag...
BACKGROUND AND OBJECTIVE: Deep neural networks (DNNs) are vulnerable to adversarial noises. Adversar...
Artificial Intelligence (AI) represents a significant milestone in health care's digital transformat...
(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial...
Intracranial hemorrhage (ICH) from traumatic brain injury (TBI) requires prompt radiological investi...
Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most exist...
Bimanual object manipulation involves using both hands to interact with objects in the environment, ...
BACKGROUND: Communication is a crucial element of every health care profession, rendering communicat...
BACKGROUND: The single pellet reaching and grasp (SPRG) task is a behavioural assay widely used to s...
A fuzzy cognitive map (FCM) is a graph-based knowledge representation model wherein the connections ...
Machine-learning-based scoring functions (MLSFs) have gained attention for their potential to improv...
This paper presents a novel, autonomous learning system working in real-time for face recognition. M...
Artificial intelligence (AI) has been making a significant impact on cardiovascular imaging, transfo...
Artificial Intelligence (AI) technologies and data science models may hold potential for enabling an...
Large and medium-sized general hospitals have adopted artificial intelligence big data systems to op...
INTRODUCTION: In 2015, our university hospital pharmacy acquired the PharmaHelp robot system to auto...
OBJECTIVE: To assess the feasibility, proficiency, and mastery learning curves for robotic pancreato...
Continuous online prediction of human joints angles is a key point to improve the performance of man...
Machine and deep learning techniques have received increasing attentions in estimating finger forces...
The correlation between driving skills and the ability to perform robotic surgery have not yet been ...