Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Oncology
1
Zitationen
4
Autoren
2024
Jahr
Abstract
A panel of experts in artificial intelligence (AI) and clinical informatics discussed the current applications and future potential of AI in oncology. The panelists shared insights into ongoing AI projects at their respective institutions, ranging from drug design and patient education to clinical decision support and administrative tasks. Key areas of focus included the use of AI for radiology and pathology, ambient listening during patient visits, and patient engagement through intelligent interfaces. The speakers also addressed the challenges of regulatory oversight, data quality, and the need for ethical and responsible AI design. The panel concluded that although AI has the potential to transform various aspects of oncology care, careful consideration must be given to patient preferences, clinical workflows, and validation of AI models in oncology-specific settings.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.200 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.051 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.416 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 · 5.410 Zit.