Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

Related articles

1. Research on an Interpretable Grey Wolf Optimization-Based Ensemble Machine Learning Model for Identifying Heterogeneity of Bladder Cancer Based on Immunological Microenvironment

   This article has 9 authors:

   1. Honglin Guo
   2. Qiuyue Song
   3. Chengcheng Gao
   4. Ke Chen
   5. Yunhao Yang
   6. Maoyang Qin
   7. Pengyu Wang
   8. Xin Chen
   9. Yazhou Wu

2. Research on Multicenter Ovarian Cancer Diagnosis Based on Federated Learning

   This article has 11 authors:

   1. Jianhu He
   2. Min Wang
   3. Jilei Xiao
   4. Fenfen Wang
   5. Xuan Yang
   6. Liying Song
   7. Linlin Tang
   8. Guiying Zhang
   9. Dejian Wang
   10. Jinghui Li
   11. Jie Chen

3. Use of Artificial Intelligence Model Associated with Masson’s Trichrome Staining as a Predictor of Muscle Invasion in Bladder Cancer

   This article has 9 authors:

   1. Diego Parrao
   2. Hector Gallegos
   3. Karin Ruz
   4. Roman Lay
   5. Catalina Saavedra
   6. Renata Guerrero
   7. Matias Larrañaga
   8. Carolina B. Lindsay
   9. Juan Cristobal Bravo