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An Augmented Reality Based Intelligent Diagnosis Platform for Medical Training

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dc.creator KÖSE, Utku
dc.creator DEPERLİOĞLU, ÖMER
dc.date 2019-12-31T21:00:00Z
dc.date.accessioned 2021-01-21T08:02:57Z
dc.date.available 2021-01-21T08:02:57Z
dc.identifier 3a467ca0-fc17-4443-8cc9-a9cebdaacd63
dc.identifier 10.1163/9789004408845_010
dc.identifier https://avesis.sdu.edu.tr/publication/details/3a467ca0-fc17-4443-8cc9-a9cebdaacd63/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/80607
dc.description This chapter introduces Augmented Reality and artificial intelligence oriented approaches for developing intelligent platforms on which students can perform diagnosis or operations by using some tasks to understand more about diseases (Barfield, 2015; Douglas, Wilke, Gibson, Boone, & Wintermark, 2017; Hemanth, Kose, Deperlioglu, & de Albuquerque, 2018; Maier-Hein et al., 2011; Neira-Tovar, Cavazos, Carrasco, & Barrera-Aldana, 2018; Shuhaiber, 2004; Zou et al., 2017). Using Augmented Reality-based features, students can interact with real-world objects to perform their tasks on medical diagnosis. Training infrastructure for the platform can be improved with pre-defined data from experts. Some tests done in order to evaluate the platform accuracy on diagnosis and effectiveness for training processes reveal positive results considering the obtained findings. The chapter briefly gives more emphasis to use of both Augmented Reality and artificial intelligence technologies to ensure innovative training platforms in the future.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title An Augmented Reality Based Intelligent Diagnosis Platform for Medical Training
dc.type info:eu-repo/semantics/article


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