Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The Use of Explainable Artificial Intelligence in Medicine
4
Zitationen
2
Autoren
2023
Jahr
Abstract
Artificial intelligence (AI) is revolutionizing the medical field in various ways. However, despite the successful implementation of various AI models in the healthcare field, the complexity, high dimensionality, and nonlinearity of AI hinder its widespread application due to the opacity of the models. The role of eXplainable artificial intelligence (XAI) is basically the same, providing clinicians and experts with predictive, diagnostic, and explanatory information about clinical decision-making patterns, and providing patients with explanations of the reasoning process and results generated by AI, thereby improving their acceptance and trust in such explanations.
Ähnliche Arbeiten
"Why Should I Trust You?"
2016 · 14.227 Zit.
A Comprehensive Survey on Graph Neural Networks
2020 · 8.601 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 Zit.
Artificial intelligence in healthcare: past, present and future
2017 · 4.387 Zit.