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Artificial intelligence-based real-time histopathology of gastric cancer using confocal laser endomicroscopy.

Haeyon ChoDamin MoonSo Mi HeoJinah ChuHyunsik BaeSangjoon ChoiYubin LeeDongmin KimYeonju JoKyuyoung KimKyungmin HwangDakeun LeeHeung-Kook ChoiSeokhwi Kim
Published in: NPJ precision oncology (2024)
There has been a persistent demand for an innovative modality in real-time histologic imaging, distinct from the conventional frozen section technique. We developed an artificial intelligence-driven real-time evaluation model for gastric cancer tissue using confocal laser endomicroscopic system. The remarkable performance of the model suggests its potential utilization as a standalone modality for instantaneous histologic assessment and as a complementary tool for pathologists' interpretation.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • optical coherence tomography
  • high resolution
  • raman spectroscopy
  • photodynamic therapy