Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Data-Driven Approaches in Healthcare: Challenges and Emerging Trends
12
Zitationen
1
Autoren
2023
Jahr
Abstract
Abstract Data is dominating and revolutionizing the healthcare industry in unprecedented ways. Associated with the new technologies of artificial intelligence, they promise to create the foundations for a new paradigm of medicine focused on the individuality of each person. This chapter is divided into four sections that aim to introduce the reader to the topic of data-driven approaches in the health sector. In section one, three ideologies are presented that, despite having some overlaps, present different views on how data should be used in order to guarantee a health service centered on each individual. In section two, the data-driven concept is explored. The emerging challenges of processing large volumes of data and their impacts on individuals, institutions, and society are associated with innovation in other disciplines such as artificial intelligence and personalized medicine. Since artificial intelligence is becoming a disruptive technology in the health sector, section three is dedicated to addressing the ethics and legal challenges posed by this new technological advance. To conclude, section four describes how the healthcare industry has become a major proving ground for artificial intelligence applications, with both startups and venture capital investors recognizing the enormous potential this technology can offer.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.339 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.211 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.614 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 · 5.478 Zit.