A review of Explainable Artificial Intelligence in healthcare

Author:

Sadeghi Zahra,Alizadehsani RoohallahORCID,CIFCI Mehmet Akif,Kausar Samina,Rehman Rizwan,Mahanta Priyakshi,Bora Pranjal Kumar,Almasri Ammar,Alkhawaldeh Rami S.,Hussain Sadiq,Alatas Bilal,Shoeibi Afshin,Moosaei Hossein,Hladík Milan,Nahavandi Saeid,Pardalos Panos M.

Funder

National Research University Higher School of Economics

Grantová Agentura České Republiky

Publisher

Elsevier BV

Reference152 articles.

1. Explainable Artificial Intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI;Arrieta;Inf Fusion,2020

2. Explainable artificial intelligence: an analytical review;Angelov;Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery,2021

3. Samek W., Wiegand T., Müller K.-R. Explainable artificial intelligence: understanding, visualizing and interpreting deep learning models. arXiv preprint arXiv:170808296. 2017.

4. Shahroudnejad A. A survey on understanding, visualizations, and explanation of deep neural networks. arXiv preprint arXiv:210201792. 2021.

5. Hendrickson R.G. Survey of sensitivity analysis methodology. 1984.

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