Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Polypharmacotherapy: the Use of Artificial Intelligence to Reduce Risk of Adverse Drug Reactions (Review)
1
Zitationen
3
Autoren
2024
Jahr
Abstract
Artificial intelligence (AI) in healthcare can be used to solve a wide range of tasks, such as diagnosis, treatment and self-monitoring of patients. This review is devoted to the problem of polypharmacotherapy, the development of adverse drug reactions as a consequence of it and the use of AI in this field. AI allows to analyze drug interactions, identify possible adverse drug reactions and suggest optimal combinations of drugs and drug regimen. The use of clinical decision support systems, which are developed in various countries, has shown improved efficiency of the doctor’s work and increased patient’s safety with the help of AI. The use of AI in polypharmacotherapy requires further research and development to improve software products that would allow evaluating not only paired, but also multiple drug interactions.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.250 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.109 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.482 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 · 5.434 Zit.