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...
Pilot Testing of a Multicomponent Cancer Pain-Cognitive Behavioral Therapy mHealth App for Patients With Advanced Cancer [0.03%]
晚期癌症患者多组件癌症疼痛认知行为疗法移动健康应用程序的试点测试
Desiree R Azizoddin,Sara M DeForge,Jian Zhao et al.
Desiree R Azizoddin et al.
Purpose: Patients with advanced cancer often experience pain symptoms. Pain-cognitive behavioral therapy (pain-CBT) represents an effective psychological treatment for chronic pain, yet access remains limited. We conducte...
Review of Large Language Models for Patient and Caregiver Support in Cancer Care Delivery [0.03%]
癌症护理传递中患者和照顾者支持的大规模语言模型综述
Ramez Kouzy,Elaine E Cha,Allison Rosen et al.
Ramez Kouzy et al.
This narrative review examines the current landscape and evidence regarding large language model (LLM) applications designed to support patients with cancer and caregivers. We analyzed peer-reviewed literature, conference proceedings, and i...
Utilization of Lung Cancer Registries in Learning Health Systems for Health Care Improvement [0.03%]
肺癌登记在学习型卫生体系中对医疗卫生改善的应用研究
Rob G Stirling,David R Baldwin,David Heineman et al.
Rob G Stirling et al.
Purpose: Lung cancer is the leading global cause of cancer mortality with substantial evidence of inequity, disparity in process and outcomes, and unwarranted clinical variation. Over the last decades, there has been majo...
Leveraging the Rural-Urban Commuting Area Tool to Address Geographic Disparities in Cancer Care: A Dual-Application Framework for Institutional and National Initiatives [0.03%]
利用城乡通勤区工具解决癌症护理的地域差异：机构和国家倡议的双重应用框架
Meredith C B Adams,Cody L Hudson,Matthew L Perkins et al.
Meredith C B Adams et al.
Purpose: We developed and validated a dual-purpose, open-access Rural-Urban Commuting Area (RUCA) tool to standardize geographic coding for cancer disparities research, addressing National Institutes of Health (NIH) Helpi...