Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

2022 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Biomedical Engineering ◽  
Cognitive Models

Internet of Things and Nature-Inspired Intelligent Techniques for the Future of Biomedical Engineering

2018 ◽  
pp. 263-282
Author(s):  
Gur Emre Guraksin
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Biomedical Engineering ◽  
Scientific Community ◽  
Engineering Applications ◽  
Related Literature ◽  
Research Fields ◽  
The Future ◽  
Autonomous Machines ◽  
General Network

Along with the rise of artificial intelligence (AI), there are many different research fields gaining importance. Because of the growing amount of data and needs for immediate access to information for dealing with the problems, different types of research fields take place within the scientific community. Internet of things (IoT) is one of them, and it enables devices to communicate with each other in order to form a general network of physical, working devices. The objective of this chapter in this manner is to provide a general discussion of using nature-inspired techniques of AI to form the future of biomedical engineering over IoT. Because it is often thought that the medical services of the future will be based on autonomous machines supported with AI and IoT, discussing such a topic by considering biomedical engineering applications will be good for the related literature.

Designing a Computational Model of Learning

2012 ◽  
pp. 147-174
Author(s):  
David Gibson
Keyword(s):  
Artificial Intelligence ◽  
Computational Model ◽  
Cognitive Models ◽  
Design Framework ◽  
Assessment Framework ◽  
Design Considerations ◽  
Learner Assessment ◽  
How People Learn ◽  
Evolutionary Perspectives

What would a game or simulation need to have in order to teach a teacher how people learn? This chapter uses a four-part framework of knowledge, learner, assessment, and community (Bransford et al., 2000) to discuss design considerations for building a computational model of learning. A teaching simulation—simSchool—helps illustrate selected psychological, physical, and cognitive models and how intelligence can be represented in software agents. The design discussion includes evolutionary perspectives on artificial intelligence and the role of the conceptual assessment framework (Mislevy et al., 2003) for automating feedback to the simulation user. The purpose of the chapter is to integrate a number of theories into a design framework for a computational model of learning.

Designing a Computational Model of Learning

2009 ◽  
pp. 671-701 ◽  
Author(s):  
David Gibson
Keyword(s):  
Artificial Intelligence ◽  
Computational Model ◽  
Cognitive Models ◽  
Design Framework ◽  
Assessment Framework ◽  
Design Considerations ◽  
Learner Assessment ◽  
How People Learn ◽  
Evolutionary Perspectives

What would a game or simulation need to have in order to teach a teacher how people learn? This chapter uses a four-part framework of knowledge, learner, assessment, and community (Bransford et al., 2000) to discuss design considerations for building a computational model of learning. A teaching simulation—simSchool—helps illustrate selected psychological, physical, and cognitive models and how intelligence can be represented in software agents. The design discussion includes evolutionary perspectives on artificial intelligence and the role of the conceptual assessment framework (Mislevy et al., 2003) for automating feedback to the simulation user. The purpose of the chapter is to integrate a number of theories into a design framework for a computational model of learning.

Intelligent Biomedical Engineering Operations by Cloud Computing Technologies

2018 ◽  
pp. 297-317
Author(s):  
Hasan Armutlu
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Biomedical Engineering ◽  
Health Problems ◽  
Vital Importance ◽  
Research Fields ◽  
Computing Technologies ◽  
Alternative Research ◽  
Medical Health ◽  
Application Scope

Cloud computing is an effective way of using hardware- and software-oriented resources at optimum levels. Thanks to this technology, it is possible to share large amounts of resources effectively and accurately among target users. Because it is a rapidly growing technology, one cannot deny that it has remarkable relations with alternative research fields having great potential and application scope. It is clear that artificial intelligence is one of these fields. As associated with both these research fields, the purpose of this chapter is to examine artificial-intelligence-based biomedical engineering works supported/connected with cloud computing. Because it has a vital importance with applications regarding the medical/health problems, biomedical engineering needs support from the most recent technologies and research fields in this manner. So, the chapter provides a view over the intersection of these three research fields as trying to improve awareness among interested readers.

Intelligent Biomedical Engineering Operations by Cloud Computing Technologies

Biotechnology ◽  
2019 ◽  
pp. 576-596
Author(s):  
Hasan Armutlu
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Biomedical Engineering ◽  
Health Problems ◽  
Vital Importance ◽  
Research Fields ◽  
Computing Technologies ◽  
Alternative Research ◽  
Medical Health ◽  
Application Scope

Cloud computing is an effective way of using hardware- and software-oriented resources at optimum levels. Thanks to this technology, it is possible to share large amounts of resources effectively and accurately among target users. Because it is a rapidly growing technology, one cannot deny that it has remarkable relations with alternative research fields having great potential and application scope. It is clear that artificial intelligence is one of these fields. As associated with both these research fields, the purpose of this chapter is to examine artificial-intelligence-based biomedical engineering works supported/connected with cloud computing. Because it has a vital importance with applications regarding the medical/health problems, biomedical engineering needs support from the most recent technologies and research fields in this manner. So, the chapter provides a view over the intersection of these three research fields as trying to improve awareness among interested readers.

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