Explainable Artificial Intelligence in Paediatric: Challenges for the Future
ABSTRACT Background Explainable artificial intelligence (XAI) emerged to improve the transparency of machine learning models and increase understanding of how models make actions and decisions. It helps to present complex models in a more digestible form from a human perspective. However, XAI is sti...
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| Main Authors: | Ahmed M. Salih, Gloria Menegaz, Thillagavathie Pillay, Elaine M. Boyle |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | Health Science Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/hsr2.70271 |
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