Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Empowering health care consumers & understanding patients' perspectives on AI integration in oncology and surgery: A perspective
5
Zitationen
10
Autoren
2024
Jahr
Abstract
The integration of AI in oncology and surgeryholds significant promise for enhancing patient care and outcomes. Patients view AI as a valuable tool that can provide accurate prognoses and personalized treatments. However, addressing ethical concerns, ensuring data privacy, and building trust through transparent communication are essential for successful AI integration. Future initiatives should focus on refining AI algorithms, establishing robust ethical guidelines, and enhancing patient education to harmonize technological advancements with patient-centered care principles.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.100 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.466 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 · 5.429 Zit.
Autoren
Institutionen
- Sumy State University(UA)
- Ladoke Akintola University of Technology Teaching Hospital(NG)
- Ladoke Akintola University of Technology(NG)
- University College Dublin(IE)
- University of St Andrews(GB)
- Queen's University Belfast(GB)
- University of Ilorin(NG)
- Royal College of Surgeons in Ireland(IE)
- University of Manchester(GB)
- Medizinische Hochschule Hannover(DE)