Meta-Analysis of Bias in Non-Small Cell Lung Cancer External Control Arms That Use Real-World Progression-Free Survival as the End Point [0.03%]
真实世界无进展生存率作为终点的非小细胞肺癌外部对照臂偏倚的元分析
Sanaa Bahmane,Chris Harbron,Devin Incerti et al.
Sanaa Bahmane et al.
Purpose: Results from single-arm clinical trials can be contextualized by comparing against external controls (ECs) derived from real-world data (RWD). However, lack of randomization and differences in variable capture be...
Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor-Positive/Human Epidermal Growth Factor Receptor 2-Negative Early Breast Cancer [0.03%]
基于基线型病理学的多模态人工智能模型可为激素受体阳性/人表皮生长因子受体阴性早期乳腺癌的远处复发评估提供预后信息
Daniel Kates-Harbeck,Hans Kreipe,Oleg Gluz et al.
Daniel Kates-Harbeck et al.
Purpose: Prognostic assessment in hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) early breast cancer (EBC) remains challenging, given relatively low rates of disease progression....
Informatics Perspectives on the National Cancer Policy Forum Workshop "Enabling 21st Century Applications for Cancer Surveillance Through Enhanced Registries and Beyond" [0.03%]
国家癌症政策论坛工作组会议“通过加强登记制度等手段推动21世纪癌症监测应用”的信息学观点
Peter P Yu,W Scott Campbell,Eric B Durbin et al.
Peter P Yu et al.
The National Cancer Policy Forum workshop Enabling 21st Century Applications for Cancer Surveillance Through Enhanced Registries and Beyond examined the current state of cancer registries and how they might evolve to extend registry mission...
Feasibility of a Smart Label-Enabled Remote Therapeutic Monitoring Intervention to Support Cyclin-Dependent Kinase 4/6 Inhibitor Adherence in Breast Cancer Care [0.03%]
基于智能标签的远程监测干预支持乳腺癌患者cyclin依赖性激酶4/6抑制剂依从性的可行性研究
Ilana Graetz,Sara Arshad,Clara Cai et al.
Ilana Graetz et al.
Purpose: Cyclin-dependent kinase 4 and 6 inhibitors (CDKIs) are effective breast cancer therapies but pose adherence challenges because of cost, side effects, and complexity of medication schedule. We assessed the feasibi...
Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States [0.03%]
解释型机器学习与线性回归预测美国县肺癌死亡率的比较研究
Soheil Hashtarkhani,Brianna M White,Benyamin Hoseini et al.
Soheil Hashtarkhani et al.
Purpose: Lung cancer (LC) is a leading cause of cancer-related mortality in the United States. Accurate prediction of LC mortality rates is crucial for guiding targeted interventions and addressing health disparities. Alt...
Comparative Study
JCO clinical cancer informatics. 2025 Nov:9:e2400310. DOI:10.1200/CCI-24-00310 2025
Using Real-World Data to Determine Acute Chemotherapy Emetogenicity in Pediatric Patients [0.03%]
利用真实世界数据确定儿科患者化疗的急性致吐性
L Lee Dupuis,Terrence Lo,Martin Yi et al.
L Lee Dupuis et al.
Purpose: Direct pediatric information to inform chemotherapy emetogenicity in pediatric patients is limited. Therefore, the framework for antiemetic selection is uncertain. This study classified the acute emetogenicity of...
RadOncRAG: A Novel Retrieval-Augmented Generation Framework Improves Large Language Model Benchmark Performance in Radiation Oncology [0.03%]
一种新型检索增强生成框架可提高大型语言模型在放射肿瘤学中的基准性能：RadOncRAG框架
Nikhil Gautam Thaker,Navid Redjal,Adam Dicker et al.
Nikhil Gautam Thaker et al.
Purpose: Large language models (LLMs) show promise in assisting knowledge-intensive fields such as oncology, where up-to-date information and multidisciplinary expertise are critical. Traditional LLMs risk hallucinations ...
Reimagining Evidence: Artificial Intelligence Synthetic Data Generation for Cancer Research [0.03%]
重塑证据：癌症研究中的人工智能合成数据生成
Guergana Savova,Shan Chen,Jiarui Yao et al.
Guergana Savova et al.
Harvesting Risk: An Ecologic Study of Agricultural Practices and Patterns and Melanoma Incidence in Pennsylvania [0.03%]
农作方式与黑色素瘤的关系：宾夕法尼亚州的生态研究
Benjamin J Marks,Jiangang Liao,Charlene Lam et al.
Benjamin J Marks et al.
Purpose: To examine the geospatial distribution of melanoma incidence in Pennsylvania (PA), quantify its association with agriculture practices and patterns, and consider its relevance for cancer control. ...
Acute Care Utilization Patterns During Chemotherapy and Predictive Model Development at a Rural Community Cancer Center [0.03%]
农村社区癌症中心化疗期间的急性护理利用模式及预测模型的发展
McKenna Perrin,Crystal Hattum,Jamie Arens et al.
McKenna Perrin et al.
Purpose: Acute care use (ACU) is more costly and prolonged for oncology patients and often leads to treatment disruptions and worsened outcomes. Reducing ACU requires understanding risk factors and proactively identifying...