Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Ascent of Artificial Intelligence (AI) in Pharmacy
5
Zitationen
4
Autoren
2024
Jahr
Abstract
The term artificial intelligence (AI) describes how computers, particularly computer systems, may simulate processes involving human intelligence. These processes include learning—acquiring knowledge and applying rules to apply it—reasoning—applying rules to draw inferences or resolve issues—and self-correction. Artificial intelligence (AI) technologies allow robots to do activities like interpreting natural language, identifying patterns, making decisions, as well as learning from experience that normally need human intelligence. Healthcare professionals, politicians, and academics must work together to create strong frameworks that guarantee the ethical and responsible use of AI as the pharmaceutical industry experiences a paradigm shift toward increased integration of this technology. The paper concludes by outlining future prospects and potential challenges, emphasizing the need for ongoing dialogue and collaboration to maximize the benefits of AI in advancing pharmacy practices and ultimately improving patient outcomes.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 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 · 5.438 Zit.