Use of Virtual Reality (VR) and AI in Therapeutic Settings DOI
Ranjit Singha, Surjit Singha

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Journal Year: 2025, Volume and Issue: unknown, P. 367 - 394

Published: Jan. 3, 2025

This chapter explores the transformative impact of virtual reality (VR) and artificial intelligence (AI) in therapeutic settings. It examines how VR's immersive environments AI's data-driven insights enhance practices, including exposure therapy, cognitive rehabilitation, anxiety management. By aligning with psychological neurological theories, these technologies offer innovative solutions for improving patient outcomes. The also addresses challenges such as high costs, data privacy, need rigorous research. Future directions emphasize importance ongoing development, ethical considerations, empirical validation. Ultimately, VR AI hold potential to revolutionize offering more effective, personalized, treatment options.

Language: Английский

Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration DOI Open Access
Shabbar Abbas, Zeeshan Abbas,

Arifa Zahir

et al.

Healthcare, Journal Year: 2024, Volume and Issue: 12(24), P. 2587 - 2587

Published: Dec. 22, 2024

Federated learning (FL) is revolutionizing healthcare by enabling collaborative machine across institutions while preserving patient privacy and meeting regulatory standards. This review delves into FL's applications within smart health systems, particularly its integration with IoT devices, wearables, remote monitoring, which empower real-time, decentralized data processing for predictive analytics personalized care. It addresses key challenges, including security risks like adversarial attacks, poisoning, model inversion. Additionally, it covers issues related to heterogeneity, scalability, system interoperability. Alongside these, the highlights emerging privacy-preserving solutions, such as differential secure multiparty computation, critical overcoming limitations. Successfully addressing these hurdles essential enhancing efficiency, accuracy, broader adoption in healthcare. Ultimately, FL offers transformative potential secure, data-driven promising improved outcomes, operational sovereignty ecosystem.

Language: Английский

Citations

5

Secure Multi-Party Computation (SMPC) Protocols and Privacy DOI
Mosiur Rahaman, Varsha Arya,

Sheila Mae Orozco

et al.

Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 190 - 214

Published: July 12, 2024

This chapter explores the growing field of secure multi-party computation (SMPC), an important part modern cryptography that protects privacy in group computing tasks. It does this by looking at their architectural designs, security models, ways to make them more efficient, and cross-domain uses. goes into detail about complex architecture cryptographic methods support SMPC, such as homomorphic encryption sharing secrets, which protect integrity data computations involving than one person. also talks strong models can against a wide range threats, well algorithmic design protocol implementation efficient. In addition, it how SMPC be used many different areas, like healthcare, banking, AI, stresses need follow rules GDPR. The ends with look ahead, talking new challenges trends are coming up.

Language: Английский

Citations

4

Exploring geriatric nurses' perspectives on the adoption of AI in elderly care a qualitative study DOI
Walaa Badawy, Mostafa Shaban

Geriatric Nursing, Journal Year: 2024, Volume and Issue: 61, P. 41 - 49

Published: Nov. 14, 2024

Language: Английский

Citations

4

Federated Learning for Privacy Preserving Intelligent Healthcare Application to Breast Cancer Detection DOI

N.A. Amritanjali,

Ragav Gupta

Published: Jan. 2, 2025

Language: Английский

Citations

0

Use of Virtual Reality (VR) and AI in Therapeutic Settings DOI
Ranjit Singha, Surjit Singha

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Journal Year: 2025, Volume and Issue: unknown, P. 367 - 394

Published: Jan. 3, 2025

This chapter explores the transformative impact of virtual reality (VR) and artificial intelligence (AI) in therapeutic settings. It examines how VR's immersive environments AI's data-driven insights enhance practices, including exposure therapy, cognitive rehabilitation, anxiety management. By aligning with psychological neurological theories, these technologies offer innovative solutions for improving patient outcomes. The also addresses challenges such as high costs, data privacy, need rigorous research. Future directions emphasize importance ongoing development, ethical considerations, empirical validation. Ultimately, VR AI hold potential to revolutionize offering more effective, personalized, treatment options.

Language: Английский

Citations

0