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 as well as collect and share health information. e-Health comprises several umbrella terms, including telehealth, mobile health, e-Health, wearables, and artificial intelligence. The types of e-Health technologies being utilized in lymphedema (LE) care are unknown. In this narrative review, a search...
The 6-min walk distance (6MWD) and the Fugl-Meyer assessment lower-limb subscale (FMA-LE) of the stroke patients provide the critical evaluation standards for the effect of training and guidance of the training programs. However, gait assessment for stroke patients typically relies on manual observation and table scoring, which raises concerns about wasted manpower and subjective observation resul...
Traction patterns of adherent cells provide important information on their interaction with the environment, cell migration, or tissue patterns and mo...
This article discusses the challenges and implications of artificial intelligence powered chatbot (AI-Chatbots) in nursing education. Chat Generative ...
Ultrasound (US) is one of the most widely used modalities for clinical intervention and diagnosis due to the merits of providing non-invasive, radiati...
Many robotic procedures require active participation by assistants. Most prior work on assistants' effect on outcomes has been limited in procedural f...
This paper investigates the role of the materiality of computation in two domains: blockchain technologies and artificial intelligence (AI). Although ...
Heterogeneity is the norm in biology. The brain is no different: Neuronal cell types are myriad, reflected through their cellular morphology, type, ex...
In Japan, there is a growing initiative to construct centralized databases and platforms that can aggregate and manage a vast range of medical, health...
Artificial Intelligence (AI) represents a significant milestone in health care's digital transformation. However, traditional health care education an...
Miniaturized electrical stimulation (ES) implants show great promise in practice, but their real-time control by means of biophysical mechanistic algo...
Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most existing deterioration prediction models require a larg...
Intracranial hemorrhage (ICH) from traumatic brain injury (TBI) requires prompt radiological investigation and recognition by physicians. Computed tom...
(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial intelligence (AI)-powered digital support is emer...
Bimanual object manipulation involves using both hands to interact with objects in the environment, and the process requires the central nervous syste...
Artificial intelligence (AI) has been making a significant impact on cardiovascular imaging, transforming everything from data capture to report gener...
Large and medium-sized general hospitals have adopted artificial intelligence big data systems to optimize the management of medical resources to impr...
Continuous online prediction of human joints angles is a key point to improve the performance of man-machine cooperative control. In this study, a fra...
Machine and deep learning techniques have received increasing attentions in estimating finger forces from high-density surface electromyography (HDsEM...
Due to subjectivity in refereeing, the results of race walking are often questioned. To overcome this limitation, artificial-intelligence-based techno...