Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial intelligence in medicine: Current status, challenges, and future prospects
0
Zitationen
1
Autoren
2025
Jahr
Abstract
Artificial intelligence (AI) is profoundly transforming various aspects of the medical field, from disease diagnosis and drug development to personalized treatment and health management. Currently, the research and applications of AI in the medical field mainly focus on medical image analysis, disease diagnosis, drug discovery, genomics, and personalized treatment. This paper reviews the main applications of AI in the medical field, including medical image analysis, genomics, drug discovery, clinical decision support, and patient monitoring. It also discusses the challenges faced by AI in medical applications, such as data privacy, algorithm bias, ethical issues, and regulatory difficulties. Finally, it looks forward to the future development trends of AI in the medical field, including the integration of AI with biotechnology, the rise of explainable AI (XAI), and AI-driven precision medicine. Research shows that AI has been widely applied in the medical field with significant value and broad prospects, but ethical and data privacy issues need to be addressed.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.324 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.189 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.588 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 · 5.470 Zit.