Augmented Reality Based Assisted Healthcare for Enhancing Medical Rescue and Doctor-Patient Consultations with AR-Headset

DivyaJyothi MG, Rachappa Jopate, Rabia Abdulrahman Abdallah Albaushi, Hood Abdullah Nasser Nabhan Alabri

Abstract


Technological progress in the healthcare sector has created new opportunities to enhance surgical precision and patient care. This study explores how augmented reality (AR) technology can help the medical industry close the gap between the digital and physical realms. AR has the potential to improve communication between doctors and patients, make complex medical information easier to understand, and help medical professionals diagnose and treat patients more successfully. It can reduce the need for printed pictures and diagrams by superimposing digital information onto a patient's body to provide surgeons a clearer understanding of the anatomy they are working on. The purpose of this research paper is to develop and deploy an assistive system that uses augmented reality (AR) technology to give medical professionals and rescue teams vital information. The solution smoothly combines digital data with the real-world perspective by integrating semi-transparent glasses into AR-Headsets. Enhancing patient-physician consultation and increasing the knowledge of complicated medical information is the main goal. The creation, application, and possible effects of this AR-based system in the healthcare sector are covered in this study.

Keywords


Augmented Reality; AR-Headsets; Healthcare; Medical Consultations; Medical Rescue; Doctor-Patient Interactions; Assistive Technology; User Experience

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References


Barfield, W., & Blitz, M. J. (Eds.). (2018). Research handbook on the law of virtual and augmented reality. Edward Elgar Publishing.

Bao, T., & Ok, H. (2021). Secure augmented reality (AR) for telehealth and emergency medical services (EMS): a survey.

Menon, S. S. (2021). ARiSE-Augmented Reality in Surgery and Education.

Ara, J., Bhuiyan, H., Bhuiyan, Y. A., Bhyan, S. B., & Bhuiyan, M. I. (2021). Ar-based modern healthcare: A review. arXiv preprint arXiv:2101.06364.

Innocente, C., Ulrich, L., Moos, S., & Vezzetti, E. (2022). Augmented Reality: Mapping Methods and Tools for Enhancing the Human Role in Healthcare HMI. Applied Sciences, 12(9), 4295.

Tripathi, A., Chauhan, N., Choudhary, A., & Singh, R. (2023). Augmented Reality and Its Significance in Healthcare Systems. In Meta-Learning Frameworks for Imaging Applications (pp. 103-118). IGI Global.

Tovar, M. A., Dowlati, E., Zhao, D. Y., Khan, Z., Pasko, K. B., Sandhu, F. A., & Voyadzis, J. M. (2022). Robot-assisted and augmented reality–assisted spinal instrumentation: a systematic review and meta-analysis of screw accuracy and outcomes over the last decade. Journal of Neurosurgery: Spine, 37(2), 299-314.

Cipresso, P., Giglioli, I. A. C., Raya, M. A., & Riva, G. (2018). The past, present, and future of virtual and augmented reality research: a network and cluster analysis of the literature. Frontiers in psychology, 2086.

Hirve, S. A., Kunjir, A., Shaikh, B., & Shah, K. (2017, March). An approach towards data visualization based on AR principles. In 2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC) (pp. 128-133). IEEE.

Woodward, J., & Ruiz, J. (2023, June). Designing Textual Information in AR Headsets to Aid in Adults’ and Children's Task Performance. In Proceedings of the 22nd Annual ACM Interaction Design and Children Conference (pp. 27-39).

Cofano, F., Di Perna, G., Bozzaro, M., Longo, A., Marengo, N., Zenga, F., ... & Calì, C. (2021). Augmented reality in medical practice: from spine surgery to remote assistance. Frontiers in Surgery, 8, 657901.

Addin, D. N., & Ozell, B. (2021). Design and Test of an adaptive augmented reality interface to manage systems to assist critical missions. arXiv preprint arXiv:2103.14160.

Cutolo, F., Fida, B., Cattari, N., & Ferrari, V. (2019). Software framework for customized augmented reality headsets in medicine. IEEE Access, 8, 706-720.

Verbrugge, F. H., Proesmans, T., Vijgen, J., Mullens, W., Rivero-Ayerza, M., Van Herendael, H., ... & Nuyens, D. (2019). Atrial fibrillation screening with photo-plethysmography through a smartphone camera. EP Europace, 21(8), 1167-1175.

Rachim, V. P., Huynh, T. H., & Chung, W. Y. (2018, October). Wrist photo-plethysmography and bio-impedance sensor for cuff-less blood pressure monitoring. In 2018 Ieee Sensors (pp. 1-4). IEEE.




DOI: http://dx.doi.org/10.21533/scjournal.v13i1.293

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Copyright (c) 2024 DivyaJyothi MG

ISSN 2233 -1859

Digital Object Identifier DOI: 10.21533/scjournal

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