Tumor Board-Inspired Multiagent Artificial Intelligence System for Interpreting Oncology Guidelines [0.03%]
基于肿瘤委员会的多智能体人工智能系统解读肿瘤学指南
Jiasheng Wang,Kirti Arora,David M Swoboda et al.
Jiasheng Wang et al.
Purpose: Clinical guidelines are essential for evidence-based oncology care but are often long, complex, and difficult to navigate. We developed a multiagent artificial intelligence (AI) system to accurately retrieve and ...
Generative Artificial Intelligence Successfully Automates Data Extraction From Unstructured Magnetic Resonance Imaging Reports: Feasibility in Prostate Cancer Care [0.03%]
生成式人工智能成功地自动从非结构化磁共振成像报告中提取数据：前列腺癌治疗中的可行性研究
Anobel Y Odisho,Andrew W Liu,William A Pace et al.
Anobel Y Odisho et al.
Purpose: Radiology reports are stored as plain text in most electronic health records, rendering the data computationally inaccessible. Large language models are powerful tools for analyzing unstructured text but relative...
Synoptic Multidisciplinary Team Meeting Workflows to Promote Guideline-Based Classification of Resectability in Pancreatic Cancer: A Multicenter Prospective Study [0.03%]
基于指南的胰腺癌切除性分类综合多学科团队会议工作流程的多中心前瞻性研究
William McGahan,Nick Butler,Thomas O&#x;Rourke et al.
William McGahan et al.
Purpose: To address incomplete and inconsistent classification of pancreatic cancer resectability according to International Association of Pancreatology (IAP) anatomic, biologic, and conditional criteria. ...
Multicenter Study
JCO clinical cancer informatics. 2026 Jan:10:e2500255. DOI:10.1200/CCI-25-00255 2026
Artificial Intelligence-Assisted Error Detection in Complex Clinical Documentation: Leveraging Large Language Models to Enhance Patient Safety in Oncology [0.03%]
基于大型语言模型的复杂临床文档错误检测：利用人工智能提高肿瘤学患者安全性的辅助方法
Peter May,Sina Nokodian,Christoph Nuernbergk et al.
Peter May et al.
Purpose: In high-risk specialties such as oncology, errors in clinical documentation can have severe consequences, highlighting a need for enhanced safety checks. We therefore aimed to evaluate the capability of frontier ...
Dynamic Mortality Risk Prediction in Myelodysplastic Syndromes Using Longitudinal Clinical Data [0.03%]
基于纵向临床数据的动态预测骨髓衰竭性疾病患者病死率的研究
Jonathan Bobak,Philipp Spohr,Sarah Richter et al.
Jonathan Bobak et al.
Purpose: Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell transplantation. Ex...
Geospatial Analysis of Commission on Cancer-Accredited Centers Within Cancer Care Utilization-Based Catchment Areas [0.03%]
基于癌症护理利用的供血区内美国肿瘤委员会认证中心的空间分布分析
Nicole Rademacher,Connor Sisk,Joshua S Richman et al.
Nicole Rademacher et al.
Purpose: The Commission on Cancer (CoC) seeks to expand access to high-quality care through community engagement standards targeting centers' catchment areas and efforts to accredit centers in more areas including rural h...
Dissonance in the Sole Quality Measure for Outpatient Chemotherapy, OP-35 [0.03%]
关于门诊化疗单一质量指标OP-35的分歧
Mahima Akula,Ryan W Huey,Arthur S Hong
Mahima Akula
SmokeBERT and Beyond: Bridging Clinical Narratives and Structured Smoking Data to Improve Lung Cancer Screening [0.03%]
SmokeBERT及其他方法：弥合临床叙述和结构化吸烟数据以改善肺癌筛查之间的差距
Heng Tan,Travis J Osterman
Heng Tan
Autonomous Analysis of Curated Patient Data Using a Large Language Model-Based Multiagent Framework [0.03%]
基于大型语言模型的多智能体框架下自主分析精選患者數據
Jiasheng Wang,David M Swoboda,Aziz Nazha
Jiasheng Wang
Purpose: Analyzing complex medical data sets is specialized and time-consuming. This study aimed to develop and evaluate a novel multiagent artificial intelligence (AI) framework for automating medical data analysis workf...
Health Informatics in Promoting Breast Cancer Screening: A Systematic Review of Benefits and Challenges [0.03%]
促进乳腺癌筛查的卫生信息学：受益与挑战的系统性综述
Rongyi Wu,Safa Elkefi
Rongyi Wu
Purpose: Breast cancer is a leading cause of cancer incidence and mortality among women globally, with significant disparities in screening uptake. Technology-based tools are emerging and show the potential to promote bre...