Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Hybrid Business Models for AI and AR/VR Healthcare Solutions: Synergies, Complementarities, and Implementation Challenges (Preprint)
0
Zitationen
3
Autoren
2023
Jahr
Abstract
<sec> <title>UNSTRUCTURED</title> The rapid advancements in Artificial Intelligence (AI), Augmented Reality (AR), and Virtual Reality (VR) technologies present significant opportunities for the healthcare industry. This paper explores the development and optimization of hybrid business models that leverage the combined potential of AI, AR, and VR in healthcare. We examine the synergies and complementarities of these technologies, focusing on their ability to enhance diagnostics, personalized treatment, and medical training. Furthermore, we discuss implementation challenges, including technological, organizational, and cultural barriers, as well as data privacy, security, and regulatory compliance issues. Drawing from case studies of successful hybrid business models in healthcare, we analyze the factors contributing to their success and provide insights for other healthcare organizations and technology companies. Finally, we offer recommendations for creating and optimizing hybrid business models, addressing implementation challenges, and fostering collaboration among stakeholders. Our findings contribute to the literature on AI, AR, and VR in healthcare and provide practical implications for healthcare organizations and technology companies seeking to innovate in this rapidly evolving field. </sec>
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.