Please use this identifier to cite or link to this item: https://ruomoplus.lib.uom.gr/handle/8000/1784
Title: A Medical Image Visualization Technique Assisted with AI-Based Haptic Feedback for Robotic Surgery and Healthcare
Authors: Minopoulos, Georgios 
Memos, Vasileios 
Stergiou, Konstantinos D. 
Stergiou, Christos 
Psannis, Konstantinos 
Author Department Affiliations: Department of Applied Informatics 
Department of Applied Informatics 
Department of Applied Informatics 
Department of Applied Informatics 
Department of Applied Informatics 
Author School Affiliations: School of Information Sciences 
School of Information Sciences 
School of Information Sciences 
School of Information Sciences 
School of Information Sciences 
Subjects: FRASCATI__Natural sciences__Computer and information sciences
Keywords: 5G
artificial intelligence
augmented reality
haptics
tactile internet
virtual reality
Issue Date: 11-Mar-2023
Journal: Applied Sciences 
ISSN: 2076-3417
Volume: 13
Issue: 6
Start page: 3592
Abstract: 
A lesson learned during the pandemic is that social distancing saves lives. As it was shown recently, the healthcare industry is structured in a way that cannot protect medical staff from possible infectious diseases, such as COVID-19. Today’s healthcare services seem anachronistic and not convenient for both doctors and patients. Although there have been several advances in recent years, especially in developed countries, the need for a holistic change is imperative. Evidently, future technologies should be introduced in the health sector, where Virtual Reality, Augmented Reality, Artificial Intelligence, and Tactile Internet can have vast applications. Thus, the healthcare industry could take advantage of the great evolution of pervasive computing. In this paper, we point out the challenges from the current visualization techniques and present a novel visualization technique assisted with haptics which is enhanced with artificial intelligent algorithms in order to offer remote patient examination and treatment through robotics. Such an approach provides a more detailed method of medical image data visualization and eliminates the possibility of diseases spreading, while reducing the workload of the medical staff.
URI: https://ruomoplus.lib.uom.gr/handle/8000/1784
DOI: 10.3390/app13063592
Rights: Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Corresponding Item Departments: Department of Applied Informatics
Department of Applied Informatics
Department of Applied Informatics
Department of Applied Informatics
Department of Applied Informatics
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