Rapid Growth in Patient Portal Messages Underscores the Need for Actionable Paths Forward [0.03%]
患者门户消息的快速增长凸显了采取行动路径的重要性
A Jay Holmgren
A Jay Holmgren
Measuring the Association Between the COVID-19 Pandemic and Cancer Incidence by Sex Using a Quasi-Experimental Study Design [0.03%]
利用准实验研究设计通过性别衡量COVID-19大流行与癌症发病率之间的联系
Kathleen M Decker,Allison Feely,Iresha Ratnayake et al.
Kathleen M Decker et al.
Purpose: This study examined the association between COVID-19 and cancer incidence by sex in Manitoba, Canada. Methods: We used a popul...
Machine Learning Designed for Any Hematologic Flow Cytometry Data Set [0.03%]
适用于任何血液流式细胞仪数据集的人工智能算法设计
Johannes Mammen,Calin-Petru Manta,Sarah Richter et al.
Johannes Mammen et al.
Purpose: Flow cytometry is a key diagnostic technique in hematology that provides protein information at a single-cell level. Traditionally interpreted manually in a sequence of two-dimensional plots, automated analysis t...
Leveraging Centralized Health System Data Management and Large Language Model-Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption [0.03%]
利用集中化卫生系统数据管理和基于大型语言模型的数据预处理识别放射治疗中断的预测因子
Fekede Asefa Kumsa,Christopher L Brett,Soheil Hashtarkhani et al.
Fekede Asefa Kumsa et al.
Purpose: Unplanned treatment interruptions represent an important care quality shortfall for patients undergoing cancer radiotherapy. This study aimed to evaluate use of a centralized electronic health record warehouse an...
Large Language Models in Population Oncology: A Contemporary Review on the Use of Large Language Models to Support Data Collection, Aggregation, and Analysis in Cancer Care and Research [0.03%]
大型语言模型在人群肿瘤学中的应用：关于使用大型语言模型支持癌症护理和研究中数据收集、汇总和分析的当代综述
Ryzen Benson,Clodagh Kenny,Amir Ashraf Ganjouei et al.
Ryzen Benson et al.
Over the past 5 years, large language models (LLMs) have emerged and continued to improve in their generative abilities and are now capable of generating human-understandable text and performing complex data analyses. As these models contin...
Development and Validation of a Claims-Based Algorithm for Identifying Incident Colorectal Cancer and Determining Progression Phases [0.03%]
基于理赔的 colorectal 癌症发生及进展期判断算法的构建和验证
Nobukazu Agatsuma,Takahiro Utsumi,Takahiro Inoue et al.
Nobukazu Agatsuma et al.
Purpose: Health insurance claims comprising diagnosis and treatment information offer insights into clinical practice and medical care costs. However, inaccurate diagnosis codes listed in claims and the absence of staging...
Tumor Site-Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis [0.03%]
分次放疗后肿瘤部位特异性放射诱导的淋巴细胞耗竭模型：来自汇总数据分析的模型结构考量
Thao-Nguyen Pham,Julie Coupey,Samuel Valable et al.
Thao-Nguyen Pham et al.
Purpose: Radiotherapy can have an impact on the immune system through lymphocyte depletion. In particular, it can influence tumor control. Accurately predicting radiation-induced lymphopenia (RIL) is key to optimizing tre...
Development and Validation of a Simulation Model-Based Tool to Support Individualized Physical Activity Discussions and Prescriptions for Breast Cancer Survivors [0.03%]
基于模拟模型的个体化运动讨论和支持工具的研发和验证——乳腺癌幸存者案例研究
Jinani C Jayasekera,Oliver W A Wilson,Clyde Schechter et al.
Jinani C Jayasekera et al.
Purpose: Clinical guidelines recommend offering individualized physical activity prescriptions to cancer survivors. However, there are limited tools to support individualized physical activity discussions and prescription...
Which Patients With Cancer Access Their Clinical Notes? A Disparities Analysis [0.03%]
哪些癌症患者能够查看其临床记录？一项差异分析
Susan Chimonas,Charlie White,Kenneth Seier et al.
Susan Chimonas et al.
Purpose: Access to clinical notes enhances patient engagement and trust, and the 21st Century Cures Act enabled immediate electronic patient access in April 2021. Yet, technological advances may perpetuate disparities, wh...
Using Natural Language Processing to Assess Goals-of-Care Conversations for Patients With Cancer [0.03%]
利用自然语言处理评估癌症患者的诊疗目标谈话
Melissa K Greene,Gloria Broadwater,Donna Niedzwiecki et al.
Melissa K Greene et al.
Purpose: Goals-of-care (GOC) discussions during advanced serious illness and end-of-life (EOL) care are critical. Institutions are increasingly tracking the frequency and timing of GOC documentation, but large-scale conte...