Towards Transparent Healthcare: Advancing Local Explanation Methods in Explainable Artificial Intelligence

This paper focuses on the use of local Explainable Artificial Intelligence (XAI) methods, particularly the Local Rule-Based Explanations (LORE) technique, within healthcare and medical settings. It emphasizes the critical role of interpretability and transparency in AI systems for diagnosing disease...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Carlo Metta, Andrea Beretta, Roberto Pellungrini, Salvatore Rinzivillo, Fosca Giannotti
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2024-04-01
Σειρά:	Bioengineering
Θέματα:	artificial intelligence explainable artificial intelligence machine learning
Διαθέσιμο Online:	https://www.mdpi.com/2306-5354/11/4/369
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