Automatic Abstraction of Computed Tomography Imaging Indication Using Natural Language Processing for Evaluation of Surveillance Patterns in Long-Term Lung Cancer Survivors [0.03%]
基于自然语言处理的计算机断层扫描影像指征自动抽象化在长期肺癌幸存者中的随访模式评估中的应用
Aparajita Khan,Eunji Choi,Chloe Su et al.
Aparajita Khan et al.
Purpose: Despite its routine use to monitor patients with lung cancer (LC), real-world evaluations of the impact of computed tomography (CT) surveillance on overall survival (OS) have been inconsistent. A major confounder...
Extraction of Social Determinants of Health From Electronic Health Records Using Natural Language Processing [0.03%]
基于自然语言处理从电子健康记录中提取社会健康决定因素
Zhenghua Chen,Patricia Lasserre,Angela Lin et al.
Zhenghua Chen et al.
Purpose: Social Determinants of Health (SDoH) have a significant effect on health outcomes and inequalities. SDoH can be extracted from electronic health records (EHR) to aid policy development and research to improve pop...
Computational Morphological Assessment of Bladder Cancer Tissue Is Prognostic of Recurrence and Overall Survival Following Transurethral Resection [0.03%]
计算形态学评估膀胱癌组织的预后在经尿道切除术后复发和总体生存率方面的价值
Patrick Leo,Behtash G Nezami,Mahmut Akgul et al.
Patrick Leo et al.
Purpose: Current risk assessment tools for bladder cancer following transurethral resection of the bladder tumor (TURBT) depend on pathological examination of resected tissue, with the consequent intra- and inter-reviewer...
Analysis of Tumor Microenvironmental Features Between Primary and Synchronous Liver Metastases From Patients With Colorectal Cancers Using a Deep Learning Algorithm [0.03%]
基于深度学习算法分析 colorectal cancer 患者原发灶和同时性肝转移灶肿瘤微环境差异
Oluwadunni E Emiloju,Nathan R Foster,Bahar Saberzadeh Ardestani et al.
Oluwadunni E Emiloju et al.
Purpose: The development of colorectal liver metastases (CRLMs) is associated with poor prognosis, and recent data suggest that metastasis to the liver is associated with resistance to immunotherapy. We characterized the ...
Using Open-Source Large Language Models to Identify Access to Germline Genetic Testing in Veterans With Breast Cancer From Unstructured Text [0.03%]
使用开源大型语言模型识别接受遗传基因检测的退伍军人乳腺癌患者中的无结构文本信息
Chunyang Li,Michael Stringer,Vikas Patil et al.
Chunyang Li et al.
Purpose: The ability of large language models (LLMs) to identify access to germline genetic testing from unstructured text remains unknown. The Department of Veterans Affairs (VA) assessed access in Veterans with breast c...
Deep Learning-Based Body Composition Analysis for Outcome Prediction in Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Insights From the LOTIS-2 Trial [0.03%]
基于深度学习的体成分分析在复发/难治弥漫性大B细胞淋巴瘤结局预测中的应用：来自LOTIS-2试验的启示
Russ A Kuker,Juan P Alderuccio,Sunwoo Han et al.
Russ A Kuker et al.
Purpose: The present study aimed to investigate the role of body composition as an independent image-derived biomarker for clinical outcome prediction in a clinical trial cohort of patients with relapsed or refractory (re...
Consumer Wearable Device Measures of Gait Cadence and Activity Fragmentation as Predictors of Survival Among Patients Undergoing Chemotherapy [0.03%]
可穿戴设备测量的步态速率和化疗患者活动碎片化对生存率的影响研究
Carissa A Low,Christianna Bartel,Krina Durica et al.
Carissa A Low et al.
Purpose: Consumer wearable devices provide new opportunities for measuring patterns of objective daily physical activity throughout cancer treatment. In addition to capturing step counts, these devices can also measure ga...
Observational Study
JCO clinical cancer informatics. 2025 Jul:9:e2500111. DOI:10.1200/CCI-25-00111 2025
Disparities in Patient Portal Messaging Among Oncology Patients Enrolled in the Patient Portal [0.03%]
肿瘤学患者门户注册患者的差异性患者门户消息传送
Jes Alexander,Alexis L Beatty
Jes Alexander
Purpose: Previous studies have consistently reported disparities in electronic health record portal enrollment. Among patients enrolled in a portal, it is less clear whether there are disparities in usage. We investigated...
Assessing the Data Quality Dimensions of Surgical Oncology Cohorts in the All of Us Research Program [0.03%]
评估All Of Us研究计划中手术肿瘤队列的数据质量维度
Matthew Spotnitz,John Giannini,Emily Clark et al.
Matthew Spotnitz et al.
Purpose: Cancer is a leading cause of morbidity and mortality in the United States. Mapping electronic health record (EHR) data to the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) may standardiz...
Molly S Talman,Nicole M Wood
Molly S Talman