| Issue |
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
|
|
|---|---|---|
| Article Number | 03006 | |
| Number of page(s) | 8 | |
| Section | Health Development | |
| DOI | https://doi.org/10.1051/e3sconf/202449103006 | |
| Published online | 21 February 2024 | |
Impact of Machine Learning Techniques in Medical Treatment Assistance in Perspective to AR & VR Technologies
1 Medi-Caps University, Indore, M.P. India.
2 Medi-Caps University, Indore, M.P. India.
3 Medi-Caps University, Indore, M.P. India.
4 Medi-Caps University, Indore, M.P. India.
5 Medi-Caps University, Indore, M.P. India.
6 Medi-Caps University, Indore, M.P. India.
1 Corresponding author: sunj129@gmail.com
2 Corresponding author: dr.arqureshi786@gmail.com
3 Corresponding author: garima.tukra@gmail.com
4 Corresponding author: vibha.rakesh.bairagi@gmail.com
5 Corresponding author: himanshu.daheriya@gmail.com
6 Corresponding author: ankitsdits@gmail.com
Abstract: This research paper explores the transformative impact of machine learning techniques in the field of medical treatment assistance, with a focus on the integration of Augmented Reality (AR) and Virtual Reality (VR) technologies. It investigates the ways in which machine learning, AR, and VR collectively enhance medical diagnostics, surgery, patient care, and medical training. Through an in-depth examination of recent advancements and case studies, this paper aims to demonstrate how these technologies are revolutionizing healthcare and contributing to more accurate diagnoses, minimally invasive surgeries, improved patient outcomes, and enhanced medical education.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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