Equity and Automation in Clinical Trial Screening: Risks and Responsibilities of Artificial Intelligence‑Enabled Matching and Enrollment Systems [0.03%]
临床试验筛选中的公平与自动化：人工智能赋能匹配和入组系统的风险与责任
Kever A Lewis,Ashlee N Seldomridge,Beth A Helmink et al.
Kever A Lewis et al.
Patient-Reported Symptom Burden Among Thyroid Cancer Survivors: Retrospective Cohort Study [0.03%]
甲状腺癌幸存者患者报告的症状负担：回顾性队列研究
Jason B Liu,Thomas Szabo Yamashita,Johnny L Rollins et al.
Jason B Liu et al.
Purpose: Survivorship care models that extend beyond recurrence surveillance to ones that also address treatment-related symptoms are needed. Using data obtained in routine clinical care, we aimed to examine patient-repor...
Rule-Based Algorithm to Identify Recurrent Non-Hodgkin Lymphoma in Electronic Health Data [0.03%]
基于规则的算法识别电子健康数据中的复发非霍奇金淋巴瘤
Mara M Epstein,Laura Susick,Feifan Liu et al.
Mara M Epstein et al.
Purpose: Recurrent cancers are not captured in a standardized way by US tumor registries, making it difficult to conduct research on risk factors for cancer recurrence. We developed rule-based algorithms to be used with e...
Bayesian Methods for Subgroup Efficacy and Safety: Application to Japanese Patients in JAVELIN Renal 101 [0.03%]
贝叶斯方法在亚组疗效和安全性评估中的应用——JAVELIN肾细胞癌101研究中日本患者的数据分析
Hiroshi Fukushima,Soichiro Yoshida,Shugo Yajima et al.
Hiroshi Fukushima et al.
Purpose: JAVELIN Renal 101 revealed that avelumab plus axitinib improved progression-free survival (PFS) compared with sunitinib in advanced renal cell carcinoma. However, Japanese subgroup estimates were imprecise. In th...
Effect of a Multidimensional Digital Health Intervention on Quality of Life in Breast Cancer Survivors: A Randomized Controlled Trial [0.03%]
多维度数字健康干预对乳腺癌幸存者生活质量的影响：一项随机对照试验
Maria-Angeles Fuentes-Expósito,Santiago Frid,Montserrat Muñoz-Mateu et al.
Maria-Angeles Fuentes-Expósito et al.
Purpose: We evaluated whether offering access to a multicomponent mHealth app improves quality of life (QoL) and psychosocial outcomes among breast cancer survivors under pragmatic, nonprescriptive conditions. ...
Randomized Controlled Trial
JCO clinical cancer informatics. 2026 Apr;10(2):e2600025. DOI:10.1200/CCI-26-00025 2026
Can Small Open-Source Language Models With Retrieval-Augmented Generation Match GPT-4 Performance in Breast Cancer Clinical Decision Support? [0.03%]
小型开源语言模型（带检索增强生成功能）能否在乳腺癌临床决策支持方面媲美GPT-4？
Chanhee Park,In Hae Park,Minhyuk Kim et al.
Chanhee Park et al.
Purpose: The rapidly evolving breast cancer treatment landscape creates significant information synthesis challenges for clinicians. We evaluated whether small open-source large language models (LLMs) augmented with retri...
Machine Learning Algorithm for the Detection of Tumor Microsatellite Instability Based on Multiomics Biomarkers [0.03%]
基于多组学生物标志物的肿瘤微卫星不稳定机器学习算法检测模型
Kyle C Strickland,Zachary D Wallen,Sarabjot Pabla et al.
Kyle C Strickland et al.
Purpose: Accurate classification of microsatellite instability (MSI) in advanced cancers is critical for identifying patients who may benefit from immune checkpoint inhibitors. However, variability in MSI detection workfl...
Foundation Model-Driven Regions of Interest Classification and Renaming in Cancer Radiotherapy: A Customizable, Retraining-Free Workflow Across Institutions [0.03%]
基于基础模型的癌症放疗中兴趣区域分类和重命名：一个跨机构的可自定义且无需重新训练的工作流程
Dong Yang,Mingjun Lei,Qiangxing Yang et al.
Dong Yang et al.
Purpose: Inconsistent and institution-specific naming of regions of interest (ROIs) in cancer radiotherapy planning limits interoperability, hinders automation, and introduces ambiguity in clinical workflows. This study a...
Announcing a New Article Type in JCO Clinical Cancer Informatics: The Resource Report [0.03%]
《JCO临床肿瘤学资讯》新文种征稿：资源报告
Jeremy L Warner
Jeremy L Warner
A Harmonized International Database of More Than 10,000 Pediatric Renal Tumor Patients From 30 Years of SIOP-RTSG Studies [0.03%]
国际儿童肾脏肿瘤患者的数据库：三十年来SIOP-RTSG研究的成果（超过一万名患者）
Prakriti Roy,Ingrid Schut,Norbert Graf et al.
Prakriti Roy et al.
Background and scope: Historical data sources for rare cancers are valuable for data-driven research. The International Society of Pediatric Oncology Renal Tumors Study Group (SIOP-RTSG) has been conducting clinical resea...