Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Introduction to Digital Health and Prevention
0
Zitationen
3
Autoren
2026
Jahr
Abstract
Over the past twenty years or so, healthcare has been changing in ways we did not see coming. This chapter, Introduction to Digital Health and Prevention, takes a closer look at how things like mobile health apps, eHealth platforms, wearables, telemedicine, big data, blockchain, and AI are now part of public health. These aren't just for treating illnesses—they're helping people stay healthy, spot problems earlier, and take care of themselves day to day. It really began with electronic health records and early telemedicine. Now, AI tools that use machine learning, language processing, and even computer vision can warn about risks and guide better use of resources. Of course, that raises questions—who owns the data, how is it used, and is it fair? Rules like GDPR and HIPAA, plus “data ethics by design,” try to keep things in check. In the end, digital health works best when it's fair and open to all.
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.