Biomedical Engineering and Informatics Using Artificial Intelligence

2020 ◽  
pp. 51-72
Author(s):  
K. Padmavathi ◽  
A. S. Saranya
Keyword(s):  
Artificial Intelligence ◽  
Biomedical Engineering

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.

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.

Determining Headache Diseases With Genetic Algorithm

2018 ◽  
pp. 249-262
Author(s):  
Gaffari Celik
Keyword(s):  
Artificial Intelligence ◽  
Genetic Algorithm ◽  
Biomedical Engineering ◽  
Medical Diagnosis ◽  
Input Data ◽  
Expert Knowledge ◽  
Effective Solution ◽  
Evolutionary Mechanisms ◽  
Medical Diagnoses ◽  
Strong Relation

Currently, medical diagnosis has a strong relation with the artificial-intelligence-oriented approaches. Because it is practical to employ intelligent mechanisms over some input data-expert knowledge and design effective solution ways, even the biomedical engineering field is interested in taking support from artificial intelligence. If applications in this manner are taken into consideration, we can see that medical diagnoses have a big percentage. In the sense of the explanations, the objective of this chapter is to use genetic algorithm (GA) for diagnosing headache diseases. As a popular and essential technique benefiting from evolutionary mechanisms, GA can deal with many different types of real-world problems. So, it has been chosen as the solution way/algorithm over the headache disease detection problem, which shapes the research framework of the study. The chapter content gives information about the performed diagnosis application and the results.

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