Artificial Intelligence for In-Flight Detection of Space-Related Ocular Trauma: Bridging Diagnostic Gaps in Microgravity.

Zheng J, Shah J, Pathuri S, Ong J, Lee AG

Open source

DOI
10.3390/vision10040059
Published
2026 Aug 26
Container
Vision (Basel, Switzerland)
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/vision10040059,
  title = {Artificial Intelligence for In-Flight Detection of Space-Related Ocular Trauma: Bridging Diagnostic Gaps in Microgravity.},
  author = {Zheng J and Shah J and Pathuri S and Ong J and Lee AG},
  year = {2026},
  journal = {Vision (Basel, Switzerland)},
  doi = {10.3390/vision10040059},
  url = {https://doi.org/10.3390/vision10040059}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence for In-Flight Detection of Space-Related Ocular Trauma: Bridging Diagnostic Gaps in Microgravity.
AU  - Zheng J
AU  - Shah J
AU  - Pathuri S
AU  - Ong J
AU  - Lee AG
PY  - 2026
JO  - Vision (Basel, Switzerland)
DO  - 10.3390/vision10040059
UR  - https://doi.org/10.3390/vision10040059
ER  - 

APA

J, Z., J, S., S, P., J, O., & AG, L. (2026). Artificial Intelligence for In-Flight Detection of Space-Related Ocular Trauma: Bridging Diagnostic Gaps in Microgravity.. Vision (Basel, Switzerland). https://doi.org/10.3390/vision10040059

Source records