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Peer-reviewedCC BYFrontiers in digital health

Artificial intelligence for pneumonia diagnosis: a systematic review of multimodal learning, fusion strategies, and explainability

  • K. G. Sruthy1
  • T. M. Navamani1
  1. 1School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology (VIT) , , ,
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Cite

BibTeXRIS
BibTeX
@article{sruthy2026artificial,
  title = {{Artificial intelligence for pneumonia diagnosis: a systematic review of multimodal learning, fusion strategies, and explainability}},
  author = {K. G. Sruthy and T. M. Navamani},
  journal = {Frontiers in digital health},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13655001},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Artificial intelligence for pneumonia diagnosis: a systematic review of multimodal learning, fusion strategies, and explainability
AU  - K. G. Sruthy
AU  - T. M. Navamani
PY  - 2026
DA  - 2026/10/16
JO  - Frontiers in digital health
UR  - https://europepmc.org/article/PMC/PMC13655001
SN  - 2673-253X
ER  -