| Autor: |
Oettl, Felix C., Oeding, Jacob F., Samuelsson, Kristian |
| Předmět: |
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| Zdroj: |
Journal of Experimental Orthopaedics; Jul2024, Vol. 11 Issue 3, p1-2, 2p |
| Abstrakt: |
The article discusses the importance of explainable artificial intelligence (AI) in orthopedic surgery. It highlights the need for AI models to be transparent and interpretable in order to gain trust from healthcare professionals and avoid perpetuating biases. The article explores various techniques, such as saliency maps and explainable boosted machines, that can improve the interpretability of AI models. It also emphasizes the importance of ethical considerations in AI development and suggests future advancements, such as counterfactual explanations and causal AI. The responsible integration of explainable AI in healthcare is seen as crucial for patient well-being and building trust. [Extracted from the article] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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