Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Guang Yang,Pazilova Nasibaxon Muhammadqosimovna, Rasulov Fayzulla,Qinghao Ye,Mirzayev G'iyosbek Isroil o'g'li,Jun Xia +4 more
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TLDR
This study surveyed the current progress of XAI and in particular its advances in healthcare applications, and introduced the solutions for XAI leveraging multi-modal and multi-centre data fusion, and subsequently validated in two showcases following real clinical scenarios.About:
This article is published in Information Fusion.The article was published on 2022-01-01 and is currently open access. It has received 231 citations till now. The article focuses on the topics: Computer science & Black box.read more
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Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Yang Nan,Javier Del Ser,Simon Walsh,Carola-Bibiane Schönlieb,Michael S. Roberts,Ian Selby,Kit Howard,John Owen,Jon Neville,Julien Guiot,B. Ernst,Ana Pastor,Angel Alberich-Bayarri,Marion I. Menzel,Sean Walsh,Wim Vos,Nina Flerin,Jean-Paul Charbonnier,Eva M. van Rikxoort,Avishek Chatterjee,Henry C. Woodruff,Philippe Lambin,L. Cerda Alberich,Luis Martí-Bonmatí,Francisco Herrera,Guang Yang +25 more
TL;DR: In this paper , a systematic review of computational data harmonization approaches for multi-modality data in the digital healthcare field, including harmonization strategies and evaluation metrics based on different theories, is presented.
Journal ArticleDOI
Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
Yiming Zhang,Ying Weng,J. Lund +2 more
TL;DR: A survey of the recent trends in medical diagnosis and surgical applications using XAI indicates that medical XAI is a promising research direction, and this study aims to serve as a reference to medical experts and AI scientists when designingmedical XAI applications.
References
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