A Medical Image Visualization Technique Assisted with AI-Based Haptic Feedback for Robotic Surgery and Healthcare

Author:

Minopoulos Georgios M.1ORCID,Memos Vasileios A.1ORCID,Stergiou Konstantinos D.1ORCID,Stergiou Christos L.1ORCID,Psannis Konstantinos E.1ORCID

Affiliation:

1. Department of Applied Informatics, University of Macedonia, 54636 Thessaloniki, Greece

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.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference22 articles.

1. Khosla, V. (2016). 20-Percent Doctor Included: Speculations & Musings of a Technology Optimist, Khosla Ventures. Available online: https://goo.gl/DrDg6G.

2. Assessment of the utility of mixed reality in medical education;Kolecki;Transl. Res. Anat.,2022

3. An advanced simulator for orthopedic surgical training;Cecil;Int. J. Comput. Assist. Radiol. Surg.,2018

4. Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review;Eswaran;J. Manuf. Syst.,2022

5. Douglas, D.B., Venets, D., Wilke, C., Gibson, D., Liotta, L., Petricoin, E., Beck, B., and Douglas, R. (2018). State of the Art Virtual Reality and Augmented Reality Knowhow, InTech.

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