Latest AI and machine learning research in us health policy for healthcare professionals.
Care robots have the potential to address the challenge of aging societies, such as labor shortages or the aging workforce. While previous studies have focused mainly on the productivity or workability of care robots, there has been an increasing need to understand the social value of care robots. This study attempted to identify the social values of care robots by conducting focus group interview...
The implementation of care robotics in care settings is identified by some authors as a disruptive innovation, in the sense that it will upend the praxis of care. It is an open ethical question whether this alleged disruption will also have a transformative impact on established ethical concepts and principles. One prevalent worry is that the implementation of care robots will turn deception into ...
Strengthening environmental regulation and adhering to the green as well as sustainable development of China's manufacturing industry has become an in...
As Artificial Intelligence (AI) proliferates across important social institutions, many of the most powerful AI systems available are difficult to int...
This research aims to conduct topic mining and data analysis of social network security using social network big data. At present, the main problem is...
With the rapid rise of artificial intelligence, smart senior care has become a new trend for future development. The collection of "Typical Cases of C...
In medicine, identifying the indirect immunofluorescence of human epithelial type 2 (HEp-2) cells plays a decisive role in the diagnosis of autoimmune...
The mixed integer linear programming (MILP) has been widely applied in many fields such as supply chain management and robot control, while how to dev...
In subject teaching, subject characteristics are the logical starting point for teaching development, and a deep understanding of subject characterist...
The prevalence of patients who are Incapacitated with No Evident Advance Directives or Surrogates (INEADS) remains unknown because such data are not r...
BACKGROUND: Technological progress in artificial intelligence has led to the increasing popularity of virtual assistants, i.e., embodied or disembodie...
Studies on the ethics of automating clinical or research decision making using artificial intelligence and other algorithmic tools abound. Less attent...
This aim of this research was to explore the evaluation and prediction value of diffusion-weighted imaging (DWI) under artificial intelligence algorit...
The convolutional neural network (CNN) has become a powerful tool in machine learning (ML) that is used to solve complex problems such as image recogn...
The application of machine learning (ML) to address population health challenges has received much less attention than its application in the clinical...
The Clavien-Dindo Classification (CDC) only reports the postoperative complication of highest grade. It is thus of limited value for radical cystecto...
In view of the employment difficulties of college graduates, this paper analyzes the overflow of graduates in a particular period caused by the expans...
BACKGROUND: Human protein kinases play important roles in cancers, are highly co-regulated by kinase families rather than a single kinase, and complem...
Indian healthcare is fast growing and with significant chunk of it being in small, fragmented, informal sector; Artificial Intelligence (AI) is pegged...
Background Social risk factors influence rehospitalization rates yet are challenging to incorporate into prediction models. Integration of social risk...