| Autor: |
Gour Sanjeev, Qureshi Abdul Razzak Khan, Tukra Garima Silakri, Bairagi Vibha, Dehariya Himanshu, Shandilya Ankit |
| Jazyk: |
English<br />French |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
E3S Web of Conferences, Vol 491, p 03006 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/202449103006 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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