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XAI in practice: medical case study using DIANNA

descriptionPublicationkeyboard_double_arrow_right Report 28 Feb 2022 English Publisher:Zenodo
Authors: Bryan Cardenas Guevara; Damian Podareanu; Matthieu Laneuville;

doi: 10.5281/zenodo.6303281 , 10.5281/zenodo.6303282

XAI in practice: medical case study using DIANNA

Abstract

We explored the benefits and limitations of using DIANNA as an explainable AI tool during a research project in the medical sector. The EU-funded Examode project aims in particular at improving decision-making adoption of extreme-scale analysis and tools. This project includes both image and text modalities and the subject matter makes the robustness of the AI model critical.

Keywords

xai, explainable ai, dianna

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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6
10
Green