Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Revolutionizing Healthcare Platforms: The Impact of AI on Patient Engagement and Treatment Efficacy
28
Zitationen
1
Autoren
2024
Jahr
Abstract
This paper explores the evolving landscape of patient engagement in healthcare, emphasizing the pivotal role of artificial intelligence (AI). It delves into the historical context of patient -provider dynamics, shifting from a predominantly authoritative approach to a more collaborative and tech -driven model. The paper highlights the impact of digital technologies like health apps, AIdriven chatbots, and virtual health assistants in personalizing patient education, improving treatment adherence, and enhancing overall patient care. Additionally, it examines various applications of AI in healthcare, from diagnostics to personalized treatment and administrative efficiency, underscoring the potential of AI to revolutionize healthcare delivery and patient engagement.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.553 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.444 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.943 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.792 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.