人工智能在T1结直肠癌管理中的应用：是武器库中的新工具还是深度学习超出了其深度？
Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth?
发表日期：2023 Sep 25
作者：
James Weiquan Li, Lai Mun Wang, Katsuro Ichimasa, Kenneth Weicong Lin, James Chi-Yong Ngu, Tiing Leong Ang
来源：
MEDICINE & SCIENCE IN SPORTS & EXERCISE
摘要：
人工智能领域正在迅速发展，对于利用人工智能预测T1阶段结直肠癌淋巴结转移风险产生了浓厚的兴趣。准确预测淋巴结侵袭可能减少不必要手术的患者数量；相反，评估不足将导致亚优化的肿瘤学结果。本综述旨在总结当前有关深度学习在预测T1阶段结直肠癌淋巴结转移概率方面的文献，突出潜在应用领域以及可能限制其一般化和临床实用性的障碍。
The field of artificial intelligence is rapidly evolving, and there has been an interest in its use to predict the risk of lymph node metastasis in T1 colorectal cancer. Accurately predicting lymph node invasion may result in fewer patients undergoing unnecessary surgeries; conversely, inadequate assessments will result in suboptimal oncological outcomes. This narrative review aims to summarize the current literature on deep learning for predicting the probability of lymph node metastasis in T1 colorectal cancer, highlighting areas of potential application and barriers that may limit its generalizability and clinical utility.