Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AI for Precision Medicine: Integrating Machine Learning in Healthcare
0
Zitationen
4
Autoren
2026
Jahr
Abstract
The development of artificial intelligence (AI) and machine learning (ML) has become a new disruptive technology in precision medicine, which allows the provision of tailored treatment plans with the help of sophisticated data analytics, multimodal assimilation, and predictive modelling. It is an empirical review of the recent literature on AI and ML in the context of precision medicine, specifically how they can be used to combine patient genomics, lifestyle data, and clinical records to provide personalised care delivery. The review covers the new advances in genomics, clinical diagnostics, biomarker discovery, personalised therapeutics, and answers questions on the issues of critical data security in healthcare and ethical concerns. Randomised controlled trials, systematic reviews, and massive implementations provide evidence indicating that AI can transform patient care by means of precision based on data, but show that stringent security systems and ethics governance are needed.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.490 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.376 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.832 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.553 Zit.