Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Impacts of 5G Machine Learning Techniques on Telemedicine and Social Media Professional Connection in Healthcare
55
Zitationen
6
Autoren
2024
Jahr
Abstract
The healthcare industry is undergoing a transformation due to the convergence of advanced technologies. This chapter explores the impact of 5G connectivity, machine learning, and social media integration in healthcare. It delves into the evolution of telemedicine, the role of social media in healthcare communication, and the emergence of 5G networks and machine learning. The chapter also discusses the foundations of 5G technology, its implications for telemedicine, and the ethical considerations of machine learning techniques in healthcare. It also highlights the potential of social media in healthcare to foster professional connections, enable collaboration, and educate patients. The chapter addresses challenges like adoption barriers, ethical dilemmas, and legal considerations, envisioning a future where these technologies integrate for efficient, ethical, and patient-centric healthcare.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.239 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.095 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.463 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 · 5.428 Zit.