Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Redefining modern healthcare by integrating artificial intelligence into patient-centered care systems
0
Zitationen
1
Autoren
2025
Jahr
Abstract
The transformation of our world through technology is continual, challenging society in countless ways and offering extraordinary benefits. With modern healthcare, like any other field, the possibilities of new intelligent solutions co-evolve with the complexity of choices to be made. Artificial intelligence (AI) in all its forms and applications, in interaction with robotics or embedded in other technologies, is at the forefront of the technical innovations that offer new options for improved care and quality of life or that, eventually, will raise concerns not only about privacy (Wang et al., 2019; Brown & Elenitoba-Johnson, 2020; Shaik et al., 2023). Others might introduce more subtle interferences in the decision process between physicians and patients, than the ones we know today. Modern health systems, based to a large extent on the care of acute cases (whether they relate to diseases or to injuries), are nevertheless part of an industrial era paradigm, and it is more and more recognized that they have to be profoundly changed, driven mainly by the needs of an aging population, by the increase in chronic diseases and by changing expectations about care quality.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.100 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.466 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 · 5.429 Zit.