乳腺癌
医学
肿瘤科
内科学
人工智能
癌症
航程(航空)
乳腺摄影术
患者数据
计算机科学
生物信息学
模式治疗法
癌症复发
文本挖掘
梅德林
风险评估
机器学习
基因组学
无线电技术
出处
期刊:Cancer Discovery
[American Association for Cancer Research]
日期:2025-12-26
卷期号:16 (2): OF1-OF1
标识
DOI:10.1158/2159-8290.cd-nw2025-0116
摘要
An artificial intelligence model that incorporates a range of tumor and patient data proved significantly more accurate in retrospectively predicting breast cancer recurrence than a commonly used genomic test, suggesting that multimodal models could be leveraged to more accurately assess recurrence risk and guide patient care.
科研通智能强力驱动
Strongly Powered by AbleSci AI