From imagination to reality: The role of virtual reality in advancing medical diagnostics DOI

E. Sireesha,

Ch. Sekhar

Deleted Journal, Journal Year: 2024, Volume and Issue: 2(2), P. 21 - 21

Published: Jan. 1, 2024

Virtual Reality (VR) has been transforming medical diagnostics with its highly immersive 3D environments, allowing for improved interaction complex anatomical structures and a wide range of conditions. This paper aims to explore how VR applies the concept preoperative planning effective surgery patient education. It also examines role in diagnostic training by providing near-real environment skill development. Diagnostic acuity is enhanced, leading earlier disease detection offering minute details visual analysis. facilitates timely adjustments treatment strategies. The further addresses ethical concerns regarding data privacy responsible use technology. In conclusion, work illustrates applications are fundamentally changing practices presenting new challenges field.

Language: Английский

Exploring the impact of hedonic and utilitarian drivers of gamified learning in metaversity: A multi-group analysis DOI

H. Li,

Younghwan Pan

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Language: Английский

Citations

1
Mapping metaverse research to the sustainable development goal of good health and well-being DOI Creative Commons
Raghu Raman, Laurie Hughes, Santanu Mandal

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 180631 - 180651

Published: Jan. 1, 2024

Language: Английский

Citations

6
AI-Augmented Medicine DOI
Jaspreet Kaur

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 139 - 159

Published: April 26, 2024

The integration of powerful artificial intelligence (AI) technologies alongside medical personnel has emerged as a transformational paradigm in the quickly expanding environment healthcare. This study examines several functions AI-augmented medicine, with particular focus on its capacity to transform multiple facets healthcare provision. Artificial enables enhanced precision diagnoses, tailored treatment strategies, and optimised clinical processes by leveraging advanced algorithms machine learning methodologies. Furthermore, utilisation AI-driven decision support systems provides immediate access valuable information evidence-based suggestions, thereby improving patient outcomes ensuring safety. Moreover, fields like imaging, AI demonstrate exceptional proficiency identifying abnormalities aiding radiologists process interpreting data.

Language: Английский

Citations

5
The application of metaverse in occupational health DOI Creative Commons

Yufu Tang,

Hongying Liang,

Jingming Zhan

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: April 11, 2024

Background The metaverse, as a new digital interactive platform, is garnering significant attention and exploration across industries due to technological advancements societal transformation. In occupational health, there immense potential for leveraging the metaverse enhance work environments health management. It offers companies more efficient intelligent solutions management while providing employees with safer comfortable environments. Methods A comprehensive literature search was conducted using PubMed, Web of Science, IEEE Xplore, Google Scholar databases identify relevant studies published between January 2015 March 2024. terms included “metaverse,” “virtual reality,” “occupational health,” “workplace safety,” “job training,” “telemedicine.” selected articles were analyzed, key findings summarized narratively. Results review summarizes broad application prospects technology in immersive training, risk identification assessment, disease monitoring diagnosis. However, applying also faces challenges such inadequate technical standards, data privacy issues, human hazards, high costs, personnel lagging regulations. Conclusion Metaverse possibilities addressing numerous faced has prospects. future, collaborative efforts from multiple stakeholders will be necessary promote sustainable development better protect workers’ health.

Language: Английский

Citations

4
Segment anything model-based segmentation with inception-ResNet-v2 classifier for Parkinson's disease diagnosis and metaverse visualization DOI

V. Balamurugan,

K. Sivasankari

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 187, P. 109732 - 109732

Published: Feb. 1, 2025

Language: Английский

Citations

0
VR Devices in Ayurvedic Care: Understanding Influential Factors for User Behavior and Continuance Intention DOI
Noha Ismail, Anwar Rasheed

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: Sept. 17, 2024

Language: Английский

Citations

2
Metaverse Medicine DOI
Jaspreet Kaur

Advances in computer and electrical engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 100 - 128

Published: July 26, 2024

Meta medicine is an innovative method of providing healthcare that uses virtual worlds, artificial intelligence (AI), and internet things (Io T) solutions to fill long-standing gaps in patient care. This study seeks investigate the convergence Io T field metaverse medicines clarify its potential transforming delivery. The commences by a concise overview changing environment rise as revolutionary paradigm. conducts comprehensive assessment existing literature analyses several case studies incorporation technologies settings. results demonstrate combination AI with IoT allows for immediate monitoring, predictive analysis, customized interventions environments, hence enhancing quality effectiveness

Language: Английский

Citations

0
From imagination to reality: The role of virtual reality in advancing medical diagnostics DOI

E. Sireesha,

Ch. Sekhar

Deleted Journal, Journal Year: 2024, Volume and Issue: 2(2), P. 21 - 21

Published: Jan. 1, 2024

Virtual Reality (VR) has been transforming medical diagnostics with its highly immersive 3D environments, allowing for improved interaction complex anatomical structures and a wide range of conditions. This paper aims to explore how VR applies the concept preoperative planning effective surgery patient education. It also examines role in diagnostic training by providing near-real environment skill development. Diagnostic acuity is enhanced, leading earlier disease detection offering minute details visual analysis. facilitates timely adjustments treatment strategies. The further addresses ethical concerns regarding data privacy responsible use technology. In conclusion, work illustrates applications are fundamentally changing practices presenting new challenges field.

Language: Английский

Citations

0