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

Autor: Cho, Haeyon, Moon, Damin, Heo, So Mi, Chu, Jinah, Bae, Hyunsik, Choi, Sangjoon, Lee, Yubin, Kim, Dongmin, Jo, Yeonju, Kim, Kyuyoung, Hwang, Kyungmin, Lee, Dakeun, Choi, Heung-Kook, Kim, Seokhwi
Předmět:
Zdroj: NPJ Precision Oncology; 6/14/2024, Vol. 8 Issue 1, p1-7, 7p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index