AI-Assisted MI diagnosis from echocardiogram videos: does explainability enhance human-AI collaborative accuracy?
While AI models can effectively detect MI on echocardiographic videos, current explainability techniques may misalign with clinical reasoning, potentially impairing diagnostic performance. Future integration requires AI visual explanation strategies that complement clinician expertise.
Authors
- Samuel Parsons
- Andrew King
- Daniela Noakes
- Anneslise Aquilina
- Thomas G. Day
- Ahmed Mansour
- Cecelia Marcolin
- Iman Islam
- Lia Davies
- Aaisha Khan
- Federico Dignazi
- Nilanka Mannakkara
Institutions
- King's College London (GB)
- Guy's and St Thomas' NHS Foundation Trust (GB)
Publication Details
- Journal
- Future Cardiology
- Published
- 2026-01-27
- DOI
- https://doi.org/10.1080/14796678.2026.2620956
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 0.00