Explainable Artificial Intelligence For The Detection and Characterisation of Stage B Heart Failure
Stage B heart failure is characterized by asymptomatic structural or functional cardiac abnormalities. Identifying individuals at this stage is clinically important, as early detection may enable targeted interventions to prevent progression to symptomatic disease. Explainable artificial intelligence (XAI) may support early detection, transparent risk stratification, and selection of clinically actionable interventions. This review examines the use of XAI in detecting and characterizing stage B heart failure. A literature search of Web of Science, Scopus, and PubMed was conducted on 27 March 2026. Studies were included if they applied AI with XAI techniques to stage B heart failure. After...
| Authors | Ahmed M Salih, Emer Brady, Ranjit Arnold et al. |
|---|---|
| Primary category | cs.CY |
| Published | 18 June 2026 |
| Last updated at source | 18 June 2026 |
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