Development and Assessment of a Pipeline for Extracting Structured Data From Free-Text Medical Reports Using a Large Language Model [0.03%]
基于大型语言模型的自由文本医学报告结构化数据提取管道的开发与评估
Enzo Joseph,Paul Vallee,Tanguy Perennec et al.
Enzo Joseph et al.
Purpose: Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated data and train...
Public Perspectives on Artificial Intelligence in Medicine and Radiology: Insights From a Survey in an Italian Cancer Referral Center [0.03%]
意大利癌症转诊中心公众对医学和放射学领域人工智能的观点：一项调查的结果
Filippo Pesapane,Emilia Giambersio,Anna Rotili et al.
Filippo Pesapane et al.
Purpose: Artificial intelligence (AI) is fast becoming a vital part of health care, dramatically affecting physicians' workflows and patients' outcomes. Understanding patients' opinions on its use is thus essential to ens...
Integrating Symptom Screening in Pediatrics Into the Epic Electronic Health Record: Development and Acceptability for Pediatric Cancer Patients [0.03%]
儿科肿瘤患者电子病历症状筛查集成开发与可接受性研究
Adam P Yan,Emily Saso,Julia Shannon et al.
Adam P Yan et al.
Purpose: Calls to implement routine symptom screening among pediatric oncology patients are increasing. Objectives were to develop and evaluate the usability of Symptom Screening in Pediatrics (SSPedi), a validated patien...
Prompt Engineering for Eastern Cooperative Oncology Group Status Extraction: Comparing Large Language Model Techniques [0.03%]
东方肿瘤学组状态提取的提示工程：比较大型语言模型技术
Meenakshi Dubey,Kok Joon Chong,Yuba Raj Pun et al.
Meenakshi Dubey et al.
Purpose: Eastern Cooperative Oncology Group (ECOG) performance status is critical for cancer patient management, yet it is often documented only in unstructured clinical notes. This study compares several approaches to ex...
Comparative Study
JCO clinical cancer informatics. 2026 Feb:10:e2500226. DOI:10.1200/CCI-25-00226 2026
Health Care Worker Perspectives After New Electronic Health Record Implementation in an Oncology Ambulatory Clinic: Qualitative and Quality-Improvement Insights [0.03%]
肿瘤门诊实施新的电子健康记录系统后医护人员的视角：定性及质量改进研究的新见解
Luxiga Thanabalachandran,Khaled Zaza,Renee Hartzell et al.
Luxiga Thanabalachandran et al.
Purpose: Electronic health record (EHR) systems aim to improve efficiency, care coordination, and patient safety, yet implementation often introduces workflow challenges and staff burden. In 2024, the Cancer Centre of Sou...
Application of the Population Health Institute Model of Health for Identifying Cancer Catchment Area Priorities [0.03%]
人群健康研究所模型在癌症诊疗区域优先事项识别中的应用
Amy Trentham-Dietz,Thomas P Lawler,Ronald E Gangnon et al.
Amy Trentham-Dietz et al.
Purpose: The University of Wisconsin Population Health Institute (PHI) Model of Health, grounded in models developed over a decade ago, provides a framework for prioritizing health-related investments including setting ag...
SNF-CLIMEDIN: A Randomized Trial of Digital Support and Intervention in Patients With Advanced Non-Small Cell Lung Cancer. A Hellenic Cooperative Oncology Group Study [0.03%]
数字支持和干预对晚期非小细胞肺癌患者的影响：希腊肿瘤合作组织的一项随机试验
Paris A Kosmidis,Thanos Kosmidis,Kyriaki Papadopoulou et al.
Paris A Kosmidis et al.
Purpose: This trial aims to investigate the effectiveness of online digital intervention in patients with non-small cell lung cancer (NSCLC) in terms of adverse events (AEs) and quality of life (QoL). ...
Randomized Controlled Trial
JCO clinical cancer informatics. 2026 Feb:10:e2500234. DOI:10.1200/CCI-25-00234 2026
Exploring the Past and Current Landscape of Biomarker-Driven Clinical Trials Through Large Language Models [0.03%]
通过大型语言模型探索生物标志物驱动的临床试验的过去和现在格局
Margaret Guo,Evan Passalacqua,Erik Bao et al.
Margaret Guo et al.
Purpose: Biomarkers, or specific somatic alterations, are increasingly required for clinical trial eligibility. Finding and enrolling patients with these biomarkers is essential not only for continuous progress in the tre...
Evaluating the Readiness of Saudi Oncology Real-World Data for Standardization and Quality Enhancement [0.03%]
评估沙特肿瘤真实世界数据标准化和质量提升的准备情况
Almaha Alfakhri,Ohoud Almadani,Ibrahim Asiri et al.
Almaha Alfakhri et al.
Purpose: Real-world data (RWD) are increasingly used in oncology research, regulatory decisions, and clinical practice; however, variability in data quality and lack of standardization remain major limitations. This study...
Validation of Claims-Based Algorithms to Classify Thoracic Radiation Therapy Courses [0.03%]
基于理赔资料的胸部放射治疗分类算法验证
Shane S Neibart,Nicholas Lin,Jacob Hogan et al.
Shane S Neibart et al.
Purpose: Routinely collected administrative data provide insights into health care utilization and outcomes but lack detailed clinical information, such as the specific site and intent of radiation therapy (RT). This stud...