Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The Power of AI in Telemedicine
0
Zitationen
5
Autoren
2023
Jahr
Abstract
The integration of artificial intelligence (AI) technologies into telemedicine holds the potential to revolutionize healthcare delivery by enhancing diagnostic accuracy, personalizing treatment plans, and improving patient outcomes. This chapter provides a comprehensive overview of telemedicine and AI technologies, followed by an in-depth examination of AI-powered telemedicine models, showcasing various case studies and real-world applications that demonstrate their efficacy in diverse healthcare scenarios. The chapter also addresses the critical ethical considerations and challenges associated with implementing AI-driven telemedicine, such as data privacy, algorithmic bias, and liability concerns. Future directions and opportunities are explored, emphasizing advancements in AI technologies, seamless integration into traditional healthcare settings, public policy support, and understanding patient and provider perspectives. The chapter concludes with a call for further research, development, and collaboration among stakeholders to ensure the responsible and effective deployment of AI-powered telemedicine models, ultimately transforming healthcare for patients worldwide.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.287 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.140 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.534 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 · 5.450 Zit.