Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Legal and Ethical Dimensions of Healthcare 4.0: Emerging Applications, Challenges and Future Development of Healthcare Metaverse
0
Zitationen
5
Autoren
2025
Jahr
Abstract
Healthcare 4.0, an entirely new healthcare era, combines medical education, diagnosis, and therapy through computers and the metaverse, the Internet. Besides bettering medical education experience with realistic simulation, and speeding up research with collaborative virtual laboratories, the Healthcare Metaverse enables remote consultation, interactive rehabilitation, and VR/AR psychotherapy. Blockchain protects personal privacy at the root by achieving secure data transmission. However, challenges such as interoperability, data privacy, and ethical concerns persist, and vigilant legal frameworks and systems must be anticipated and maintained. This is especially true concerning liability for AI-based diagnosis and the protection of virtual patients’ privacy, areas in which the legal community is trailing even more. Soon, merging AI, IoT, and haptic feedback will ensure early diagnosis and personalised treatments. The need for global regulations, increased data protection, and ethical standards to strike a balance between patient safety and innovation is emphasised in this article. The task will be an interdisciplinary cooperation to realise the potential of Healthcare 4.0 in surgery, diagnosis, and rehabilitation. This will guarantee its safe and fair utilisation in a clinical setting. This review highlights ethical challenges and defects in the law in exascale computing and the metaverse in health care and provides models and legislative solutions for proper AI applications.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.438 Zit.