Detecting the Cure Model Appropriateness in Randomized Clinical Trials With Long-Term Survivors [0.03%]
含长期生存者的随机临床试验中检测治愈模型适用性的研究
Cheryl Kouadio,Subodh Selukar,Megan Othus et al.
Cheryl Kouadio et al.
Purpose: To evaluate the appropriateness of a cure model when analyzing right-censored end points of a randomized clinical trial (RCT) in malignancy in the presence of long-term survivors. We aim to derive how the ratio e...
Development and Evaluation of a Patient Portal Education Module for Pediatric Patients With Cancer and Caregivers [0.03%]
癌症患儿及其照顾者的患者门户网站教育模块的开发与评估
Luxshikka Canthiya,Ian Kawpeng,Aryan Patel et al.
Luxshikka Canthiya et al.
Purpose: Patient-facing electronic health portals, such as Epic's MyChart, enable new avenues of patient care, improving transparency and health literacy. The objective of this project was to cocreate an educational tool ...
Critical Role of Model Selection in Evaluating AI Performance for Tumor Board Decision Making [0.03%]
模型选择在评估AI性能以进行肿瘤委员会决策制定方面的作用不容忽视
Mehmet Mutlu Çatlı,Arif Hakan Önder
Mehmet Mutlu Çatlı
Reply to: Critical Role of Model Selection in Evaluating AI Performance for Tumor Board Decision Making [0.03%]
关于模型选择在肿瘤委员会决策制定中评估AI性能的关键作用的评论
Ning Liao,Cheukfai Li,Charles M Balch
Ning Liao
Patient Portal Engagement in Oncology: Results From the NU IMPACT Study in a Large Health Care System [0.03%]
肿瘤学患者门户使用情况：来自大型医疗体系NU IMPACT研究的结果
Kyle M Nolla,Maja Kuharic,Nicola Lancki et al.
Kyle M Nolla et al.
Purpose: Electronic patient portals can promote patient-centered care, but determinants of engagement remain underexplored in oncology. This study examines sociodemographic and clinical factors associated with engagement ...
Randomized Controlled Trial
JCO clinical cancer informatics. 2025 Dec:9:e2500178. DOI:10.1200/CCI-25-00178 2025
Building Pediatric Cancer Cohorts and Accessing Data Using Childhood Cancer Data Initiative Tools [0.03%]
利用儿童癌症数据倡议工具构建儿科肿瘤队列和访问数据
Subhashini Jagu,Jaime M Guidry Auvil,Mark Cunningham et al.
Subhashini Jagu et al.
Purpose: Data sharing is necessary to advance understanding of the etiology and biology of cancer in children, adolescents, and young adults; drive therapeutic discoveries; and improve treatment outcomes. To meet this cri...
Automated Identification of Radiotherapy Courses From US Department of Veterans Affairs Administrative Data [0.03%]
从美国退伍军人事务管理数据中自动识别放疗过程
William Schreyer,Ryan Melson,Christopher Anderson et al.
William Schreyer et al.
Purpose: Radiotherapy is a critically important cancer treatment; however, its details are often not well represented in electronic health record data sets. US Veterans' radiation courses are further distributed across a ...
Catherine M DesRoches,Liz Salmi
Catherine M DesRoches
Development of a Composite Measure to Identify Priority Areas of Need for Cancer Screening Interventions [0.03%]
癌症筛查干预优先需求领域识别的复合测度研究及其应用开发
David N Karp,Khaldoun Hamade,Christopher M McNair et al.
David N Karp et al.
Purpose: Cancer centers and health systems are tasked with deciding where to deploy community interventions to reduce the burden of cancer within their catchment areas. Few methods exist to prioritize communities in a sys...
Rapid Clinical Evidence Explorer: A Generative Pre-Trained Transformer-Powered Tool for Automated Oncology Evidence Extraction [0.03%]
基于生成预训练变压器的自动肿瘤学证据提取工具——快速临床证据探索器
Eunyoung Im,Bomi Kim,Sunghoon Kang et al.
Eunyoung Im et al.
Purpose: The rapid expansion of scientific literature has made it increasingly challenging for clinicians and researchers to efficiently identify relevant evidence. While large language models (LLMs) offer promising solut...