Artificial intelligence for cerebrovascular digital subtraction angiography: methods, evidence, and challenges.

Shi S, Chen C, Xiao R

DOI: 10.1088/1361-6560/aebfed
Published: 2026 Nov 9
Container: Physics in medicine and biology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1361-6560/aebfed,
  title = {Artificial intelligence for cerebrovascular digital subtraction angiography: methods, evidence, and challenges.},
  author = {Shi S and Chen C and Xiao R},
  year = {2026},
  journal = {Physics in medicine and biology},
  doi = {10.1088/1361-6560/aebfed},
  url = {https://doi.org/10.1088/1361-6560/aebfed}
}

RIS

TY  - JOUR
TI  - Artificial intelligence for cerebrovascular digital subtraction angiography: methods, evidence, and challenges.
AU  - Shi S
AU  - Chen C
AU  - Xiao R
PY  - 2026
JO  - Physics in medicine and biology
DO  - 10.1088/1361-6560/aebfed
UR  - https://doi.org/10.1088/1361-6560/aebfed
ER  -

APA

S, S., C, C., & R, X. (2026). Artificial intelligence for cerebrovascular digital subtraction angiography: methods, evidence, and challenges.. Physics in medicine and biology. https://doi.org/10.1088/1361-6560/aebfed

Source records

pubmed · retrieved 2026-11-10T08:51:30.089Z