Use of Electronic Health Records to Benchmark Clinical Practice Guideline-Consistent Care in Pediatric Oncology [0.03%]
利用电子健康档案对儿科肿瘤学临床实践指南一致性护理进行绩效考核
Adam Paul Yan,Martin Yi,Priya Patel et al.
Adam Paul Yan et al.
Purpose: Measuring clinical practice guideline (CPG)-consistent care through electronic health record (EHR) queries provides a scalable and efficient approach to evaluating quality of care. Template care pathways are used...
Large Language Model and Natural Language Processing Approach to Identify Cancer Recurrence From Pathology Reports [0.03%]
基于大型语言模型和自然语言处理方法从病理报告中识别癌症复发
Diego Bayona,Daniel K Ebner,Lydia Ekama et al.
Diego Bayona et al.
Purpose: Cancer recurrence is a critical outcome for patients and physicians. Retrospective cancer recurrence data can evaluate recurrence-directed treatment and generate novel interventions targeting recurrent cancers. H...
Weighting by Income Probabilities as a Novel Approach to Quantifying Differences in the Burden of Cancer by Income: A Case Study of Colorectal Cancer in Ohio [0.03%]
一种量化癌症经济负担差异的新方法——以俄亥俄州的大肠癌为例
Uriel Kim,Siran Koroukian,Johnie Rose
Uriel Kim
Purpose: Population-based cancer registries are a key data resource for catchment area informatics, but their utility for quantifying differences in cancer burden by socioeconomic status is limited. Here, we describe an a...
Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma [0.03%]
CAR-T细胞时代维持较高造血干细胞采集阈值治疗多发性骨髓瘤的成本效益分析
Ehsan Malek,Brian Betts,Megan Herr et al.
Ehsan Malek et al.
Purpose: Prolonged cytopenias are a common complication after chimeric antigen receptor (CAR) T-cell therapy for multiple myeloma, increasing the risk of severe infection. Infusion of previously collected autologous stem ...
Modeling the Pretest Probability of Identifying Druggable Mutations in Lung Cancer Using Nationwide Comprehensive Genomic Profiling Data [0.03%]
基于全国范围内的综合基因组分析数据构建肺癌可药物突变筛查的阳性预测值模型
Hiroaki Ikushima,Kousuke Watanabe,Aya Shinozaki-Ushiku et al.
Hiroaki Ikushima et al.
Purpose: Comprehensive genomic profiling (CGP) is a key strategy in precision medicine for lung cancer, yet its clinical implementation remains limited, partly because of the uncertainty in identifying druggable mutations...
Hybrid Computer Vision Model to Predict Lung Cancer in Diverse Populations [0.03%]
预测不同人群肺癌的混合计算机视觉模型
Abdul J Zakkar,Nazia Perwaiz,Vikram Harikrishnan et al.
Abdul J Zakkar et al.
Purpose: Disparities in lung cancer incidence exist in Black populations, and screening criteria underserve Black populations due to disparately elevated risk in the screening-eligible population. Prediction models that i...
Multicenter Study
JCO clinical cancer informatics. 2026 Mar:10:e2500041. DOI:10.1200/CCI-25-00041 2026
Building Capacity for Research on Cancer, Older Adults, and Under-Represented Populations: Methods and Lessons Learned From the Development of the University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center-Medicare Database [0.03%]
关于癌症、老年人和少数族裔群体研究能力构建：方法及经验教训——基于马里兰格林鲍姆综合癌症中心(Medicare数据库)的发展
Tsung-Ying Lee,Eberechukwu Onukwugha,Abree Johnson et al.
Tsung-Ying Lee et al.
Purpose: This study assessed the feasibility of developing the University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center (UMGCCC)-Medicare-linked database infrastructure by integrating tumor regist...
Leveraging Digital Technology and Artificial Intelligence to Describe the Real-World Belgian Chronic Lymphocytic Leukemia Patient Population: The BE-CLLEAR Study [0.03%]
利用数字技术与人工智能描述真实世界中的比利时慢性淋巴细胞性白血病患者人群：BE-CLLEAR研究
Matthias Vanderkerken,Koen Van Eygen,Veerle Galle et al.
Matthias Vanderkerken et al.
Purpose: Chronic lymphocytic leukemia (CLL) treatment paradigms have evolved significantly, yet real-world evidence (RWE) on guideline implementation and patient characteristics remains limited. ...
Multicenter Study
JCO clinical cancer informatics. 2026 Mar:10:e2500159. DOI:10.1200/CCI-25-00159 2026
Interpretable Active Learning for Pedigree Data Deduplication in Cancer Genetics [0.03%]
癌症遗传学家谱数据去重的可解释主动学习方法
Maria S Rosito,Aleck E Cervantes,Christine Hong et al.
Maria S Rosito et al.
Purpose: Studying rare genetic conditions often requires multicenter research to gather sufficient data. However, data from multiple institutions may include relatives from the same family enrolled at different sites, inc...