More than just a heatmap: elevating XAI with rigorous evaluation metrics
SpikeNet delivers accurate, low latency, and explainable analysis for MRI and ultrasound by unifying CNN based spatial encoding, sparse spiking computation, and native explanations. The XAlign metric provides a clinically oriented assessment of explanation fidelity and supports consistent comparison across methods. These results indicate the potential of SpikeNet and XAlign for trustworthy and efficient clinical decision support.
Authors
- Malika Bendechache (ORCID: https://orcid.org/0000-0003-0069-1860)
- Dost Muhammad (ORCID: https://orcid.org/0000-0001-9186-6392)
Institutions
- Ollscoil na Gaillimhe – University of Galway (IE)
- COPE Galway (IE)
Publication Details
- Journal
- Frontiers in Medical Technology
- Published
- 2025-10-28
- DOI
- https://doi.org/10.3389/fmedt.2025.1674343
- Citations
- 2
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 4.96