Progressing Toward the Application of Artificial Intelligence for Medical Equipment Replacement in Canadian Hospitals —An Idea From the Biomedical Engineering Department at Northern Health

2020 ◽  
Vol 45 (2) ◽  
pp. 128-132
Author(s):  
Nikhil Kanamala
2018 ◽  
pp. 1304-1323
Author(s):  
Tuncay Yigit ◽  
Arif Koyun ◽  
Asim Sinan Yuksel ◽  
Ibrahim Arda Cankaya ◽  
Utku Kose

Blended Learning is a learning model that is enriched with traditional learning methods and online education materials. Integration of face-to-face and online learning with blending learning can enhance the learning experience and optimize seat time. In this chapter, the authors present the teaching of an Algorithm and Programming course in Computer Engineering Education via an artificial intelligence-supported blended learning approach. Since 2011, Computer Engineering education in Suleyman Demirel University Computer Engineering Department is taught with a blended learning method. Blended learning is achieved through a Learning Management System (LMS) by using distance education technology. The LMS is comprised of course materials supported with flash animations, student records, user roles, and evaluation systems such as surveys and quizzes that meet SCORM standards. In this chapter, the related education process has been supported with an intelligent program, which is based on teaching C programming language. In this way, it has been aimed to improve educational processes within the related course and the education approach in the department. The blended learning approach has been evaluated by the authors, and the obtained results show that the introduced artificial intelligence-supported blended learning education program enables both teachers and students to experience better educational processes.


Author(s):  
Gur Emre Guraksin

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.


2020 ◽  
Vol 45 (1) ◽  
pp. 19-30
Author(s):  
Tofunmi Akinlalu ◽  
Milena Galaszewicz ◽  
Frank Gigliotti ◽  
Connor Reece ◽  
Kritananda Teeluckdharry ◽  
...  

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