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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 |
Appears in Collections: | Articles |
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