Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Enhancing cancer risk awareness and screening management through artificial intelligence: a narrative review
1
Zitationen
9
Autoren
2025
Jahr
Abstract
Cancer is a major public health problem worldwide, and early detection through risk awareness and screening is critical for improving patient outcomes. Although modern medicine has made certain progress, there are still many unmet clinical needs in areas such as precise diagnosis, precise treatment and risk assessment.Traditional strategies to promote public awareness and optimize screening programs face persistent challenges. With the development of modern science and technology, artificial intelligence (AI) has gradually become an important force driving innovation in the field of oncology.Recent advances in artificial intelligence, particularly large language models (LLMs), have introduced new opportunities to address these barriers by enabling personalized risk communication, predictive analytics, and automated decision support. By summarizing recent advances in the application of artificial intelligence to early cancer detection, this review seeks to propose innovative strategies for early screening and precise diagnosis, ultimately aiming to reshape the landscape of cancer prevention and treatment.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.393 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.259 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.688 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 · 5.502 Zit.