Latest AI and machine learning research in military medicine for healthcare professionals.
Livestock welfare assessment helps monitor animal health status to maintain productivity, identify i...
Head impacts are highly prevalent in sports and there is a pressing need to investigate the potentia...
Smart maintenance is essential to achieving a safe and reliable railway, but traditional maintenance...
The next chapter of the robotics revolution is well underway with the deployment of robots for a bro...
The deployment of machine learning for tasks relevant to complementing standard of care and advancin...
Artificial intelligence systems for health care, like any other medical device, have the potential t...
Cerebellar ataxia (CA) is concerned with the incoordination of movement caused by cerebellar dysfunc...
Autonomous mobility devices such as transport, cleaning, and delivery robots, hold a massive economi...
BACKGROUND: Recent advancements in digital pathology resulting from advances in imaging and digitiza...
Telesurgery is not a foreign concept and dates to as early as the 1920s. The use of robots in medici...
Neonatology has experienced a significant reduction in mortality rates of the preterm population and...
In order to explore the application of intelligent intravenous drug dispensing robot in clinical nur...
The Beijing 2022 Winter Olympics will begin soon, which is mainly focused on winter sports. Athletes...
Photoplethysmography (PPG) is easy to measure and provides important parameters related to heart rat...
Predictive analytic models leveraging machine learning methods increasingly have become vital to hea...
Technological advances, lack of medical professionals, high cost of face-to-face encounters, and dis...
Rates of Post-traumatic stress disorder (PTSD) have risen significantly due to the COVID-19 pandemic...
Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the experi...
BACKGROUND: Deterministic Networking (DetNet) is a new technology that can effectively control netwo...
High deployment costs, safety risks, and time delays restrict traditional track detection methods in...
We introduce a set of input models for fusing information from ensembles of wearable sensors support...