Establishment of a Model to Predict the Prognosis of Endometrial Carcinoma Using Tumor‐Infiltrating Lymphocytes Evaluated With Artificial Intelligence: A Retrospective Analysis
Key Points
The study aims to develop a predictive model for the prognosis of endometrial carcinoma using tumor-infiltrating lymphocytes evaluated by artificial intelligence.
Retrospective analysis of endometrial carcinoma cases
Evaluation of tumor-infiltrating lymphocytes with AI tools
Comparison of AI predictions with existing prognostic outcomes
AI showed a significant ability to predict prognosis in endometrial carcinoma cases.
The model's predictions were accurate according to the evaluation of tumor-infiltrating lymphocytes.
Abstract
TILs evaluated using AI could accurately and significantly predict the prognosis of EC. Further studies are needed to establish new methods for evaluating TILs in ECs.
Establishment of a Model to Predict the Prognosis of Endometrial Carcinoma Using Tumor‐Infiltrating Lymphocytes Evaluated With Artificial Intelligence: A Retrospective Analysis | Synapse