Reply to “Harnessing machine learning to predict colorectal cancer metastasis: A promising artificial intelligence frontier”

IF 3.5 2区医学 Q2 ONCOLOGY Ejso Pub Date : 2024-11-01 DOI:10.1016/j.ejso.2024.108492

引用次数: 0

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

回复 "利用机器学习预测结直肠癌转移：前景广阔的人工智能前沿"。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Ejso 医学-外科

CiteScore

6.40

自引率

2.60%

发文量

1148

审稿时长

41 days

期刊介绍： JSO - European Journal of Surgical Oncology ("the Journal of Cancer Surgery") is the Official Journal of the European Society of Surgical Oncology and BASO ~ the Association for Cancer Surgery. The EJSO aims to advance surgical oncology research and practice through the publication of original research articles, review articles, editorials, debates and correspondence.

期刊最新文献

A 3-Arm case-matched analysis of anti-reflux reconstruction methods after laparoscopic proximal gastrectomy — Single tract jejunal interposition vs double tract reconstruction vs tube-like stomach reconstruction Histopathological outcomes of transanal, robotic, open, and laparoscopic surgery for rectal cancer resection. A Bayesian network meta-analysis of randomized controlled trials. Comment on "The mode of circumferential margin involvement in rectal cancer determines its impact on outcomes: A population-based study". Risk factors for surgical site infections following hepatobiliary surgery: An umbrella review and meta-analyses Changes in health-related quality of life following breast cancer surgery: A systematic review of the literature on the role of surgical approaches.