Artificial intelligence for atrial fibrillation episode classification: Concerns about interpretation and validation.

Xiang Q, Cao D, Huang H

DOI: 10.1016/j.hroo.2026.05.007
Published: 2026 Sep
Container: Heart rhythm O2
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.hroo.2026.05.007,
  title = {Artificial intelligence for atrial fibrillation episode classification: Concerns about interpretation and validation.},
  author = {Xiang Q and Cao D and Huang H},
  year = {2026},
  journal = {Heart rhythm O2},
  doi = {10.1016/j.hroo.2026.05.007},
  url = {https://doi.org/10.1016/j.hroo.2026.05.007}
}

RIS

TY  - JOUR
TI  - Artificial intelligence for atrial fibrillation episode classification: Concerns about interpretation and validation.
AU  - Xiang Q
AU  - Cao D
AU  - Huang H
PY  - 2026
JO  - Heart rhythm O2
DO  - 10.1016/j.hroo.2026.05.007
UR  - https://doi.org/10.1016/j.hroo.2026.05.007
ER  -

APA

Q, X., D, C., & H, H. (2026). Artificial intelligence for atrial fibrillation episode classification: Concerns about interpretation and validation.. Heart rhythm O2. https://doi.org/10.1016/j.hroo.2026.05.007

Source records

pubmed · retrieved 2026-09-26T12:04:48.071Z