Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Investigating the Application of Artificial Intelligence in the Pediatric Oncology
1
Zitationen
3
Autoren
2024
Jahr
Abstract
Since Alan Turing proposed the concept of using computers for intelligent simulation of behavior and critical thinking, artificial intelligence has progressed in various fields. In medicine, artificial intelligence is used in three subfields: Machine learning (ML), deep learning (DL), and computer vision. Considering the increasing use of artificial intelligence in pediatric oncology and cancer treatment, there is a need for studies and research projects specifically focused on pediatric oncology. In oncology, especially childhood malignancies, artificial intelligence can help doctors as a new tool.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.553 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.444 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.943 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.792 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.