Latest AI and machine learning research in health policy for healthcare professionals.
A mental healthcare system in which the scarce resources are equitably and efficiently allocated, be...
The proportion of robotic procedures continues to rise. The literature reinforces that robotic proc...
Innovations in health care are growing exponentially, resulting in improved quality of and access to...
The recent curriculum reform in China puts forward higher requirements for the development of physic...
U.S. cities contain unknown numbers of undocumented "manufactured gas" sites, legacies of an industr...
Drug-induced cardiotoxicity and hepatotoxicity are major causes of drug attrition. To decrease late-...
BACKGROUND: Clinical notes record the health status, clinical manifestations and other detailed info...
Disruptive innovation is an invention that disrupts an existing market and creates a new one by prov...
The classification of driving styles plays a fundamental role in evaluating drivers' driving behavio...
Pneumatically-actuated soft robots have advantages over traditional rigid robots in many application...
The involvement of artificial intelligence in biomedicine promises better support for decision-makin...
Artificial intelligence (AI) is expected to cause significant medical quality enhancements and cost-...
The development of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) has been a critic...
The 3Rs concept, calling for replacement, reduction and refinement of animal experimentation, is rec...
In the human resource system of modern enterprises, human-post matching big data occupies an importa...
Water sampling is an essential undertaking for water utilities and agencies to protect and enhance o...
The European Union's proposed Artificial Intelligence Act is a welcome, ambitious law on the regulat...
BACKGROUND: Considerable effort has been devoted to the development of artificial intelligence, incl...
Significance and popularity of Role-Based Access Control (RBAC) is inevitable; however, its applicat...
Credit risk evaluation is a crucial yet challenging problem in financial analysis. It can not only h...
This paper presents a novel machine learning approach to perform an early prediction of the healthca...