Latest AI and machine learning research in work force for healthcare professionals.
Electronic health (e-Health), refers to technologies that can be utilized to enhance patient care a...
The 6-min walk distance (6MWD) and the Fugl-Meyer assessment lower-limb subscale (FMA-LE) of the str...
Traction patterns of adherent cells provide important information on their interaction with the envi...
This article discusses the challenges and implications of artificial intelligence powered chatbot (A...
Ultrasound (US) is one of the most widely used modalities for clinical intervention and diagnosis du...
Many robotic procedures require active participation by assistants. Most prior work on assistants' e...
This paper investigates the role of the materiality of computation in two domains: blockchain techno...
In Japan, there is a growing initiative to construct centralized databases and platforms that can ag...
Artificial Intelligence (AI) represents a significant milestone in health care's digital transformat...
Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most exist...
Intracranial hemorrhage (ICH) from traumatic brain injury (TBI) requires prompt radiological investi...
(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial...
Bimanual object manipulation involves using both hands to interact with objects in the environment, ...
Artificial intelligence (AI) has been making a significant impact on cardiovascular imaging, transfo...
Large and medium-sized general hospitals have adopted artificial intelligence big data systems to op...
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...
Due to subjectivity in refereeing, the results of race walking are often questioned. To overcome thi...
High performance of deep learning models on medical image segmentation greatly relies on large amoun...
Artificial intelligence-based models and robust computational methods have expedited the data-to-kno...
Having to face the challenges posed by a shortage of skilled care workers and an increasing number o...