Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The Intersection of Artificial Intelligence, Telemedicine, and Neurophysiology
30
Zitationen
6
Autoren
2023
Jahr
Abstract
The technical-scientific area of neurophysiology has seen significant advancements in recent years, with the introduction of new technologies aimed at improving the diagnosis, treatment, and management of neurological conditions. However, these advancements resulted in significant repercussions in terms of specificity and sensitivity, diagnostic accuracy, and prognosis in more specific situations, particularly in the integration of artificial intelligence (AI) and telemedicine. In this chapter, the authors aim to explore the current state of neurophysiology and examine the role of AI and telemedicine in addressing the challenges faced by this field. The authors will delve into the potential benefits and limitations of these technologies and their impact on patient outcomes, healthcare delivery, and the future of neurophysiology. The chapter's goal is to provide a comprehensive overview of the challenges and potentialities of AI and telemedicine in neurophysiology, highlighting their significance in advancing the field and improving patient care.
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.