Why AI struggles with rare catastrophic disease: lessons from the AORTA-AI study of acute aortic syndrome

Jim Zhong, Peter A Bath, Matthew J Reed, Sarah Wilson, Ganesh Vigneswaran

Open source

DOI: 10.1136/emermed-2026-216369
Published: 2026-08-11
Container: Emergency Medicine Journal
Publisher: BMJ
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1136/emermed-2026-216369,
  title = {Why AI struggles with rare catastrophic disease: lessons from the AORTA-AI study of acute aortic syndrome},
  author = {Jim Zhong and Peter A Bath and Matthew J Reed and Sarah Wilson and Ganesh Vigneswaran},
  year = {2026},
  journal = {Emergency Medicine Journal},
  doi = {10.1136/emermed-2026-216369},
  url = {https://doi.org/10.1136/emermed-2026-216369}
}

RIS

TY  - JOUR
TI  - Why AI struggles with rare catastrophic disease: lessons from the AORTA-AI study of acute aortic syndrome
AU  - Jim Zhong
AU  - Peter A Bath
AU  - Matthew J Reed
AU  - Sarah Wilson
AU  - Ganesh Vigneswaran
PY  - 2026
JO  - Emergency Medicine Journal
DO  - 10.1136/emermed-2026-216369
UR  - https://doi.org/10.1136/emermed-2026-216369
ER  -

APA

Zhong, J., Bath, P. A., Reed, M. J., Wilson, S., & Vigneswaran, G. (2026). Why AI struggles with rare catastrophic disease: lessons from the AORTA-AI study of acute aortic syndrome. Emergency Medicine Journal. https://doi.org/10.1136/emermed-2026-216369

Source records

crossref · retrieved 2026-09-26T16:00:37.012Z