Machine Learning for Monoclonal Gammopathy of Undetermined Significance Screening: Who, How, and Why? [0.03%]
机器学习在单克隆免疫球蛋白未定意义疾病筛查中的应用：目标人群、实施方法及意义何在？
Aheli Dutta,Rahul Banerjee
Aheli Dutta
Gaps in Patient-Facing Information on Artificial Intelligence in Cancer Care: A Cross-Sectional Analysis [0.03%]
面向患者的癌症护理人工智能信息的缺口：横断面分析
Pearl Subramanian,Suditi Shyamsunder,Khashayar Eshaghi et al.
Pearl Subramanian et al.
Purpose: Artificial intelligence (AI) is increasingly integrated into cancer care and accessible to patients, yet the quality and accessibility of patient-facing information on this topic are poorly characterized. We eval...
Jasmine C Teng,Leon J Worth,Karin A Thursky et al.
Jasmine C Teng et al.
Purpose: Immune-related colitis (IR-colitis) is a significant side effect of immune checkpoint inhibitor (ICI) therapy for an expanding group of cancers. Timely identification is required to optimize outcomes, but existin...
Externally Validated Machine Learning Models for 30-/90-/180-Day Unplanned Readmission After Head and Neck Cancer Hospitalizations in the United States [0.03%]
美国头颈癌住院患者的30/90/180天再入院的机器学习模型的外部验证
Woo Joo Lee,Muhammad Sohaib Asghar,Robin Park et al.
Woo Joo Lee et al.
Purpose: Readmissions after head and neck cancer (HNC) hospitalizations are common and costly. We developed and externally validated machine learning (ML) models to predict unplanned readmissions across short- and longer-...
Phenotyping Prostate Cancer in a National Health System Using Large Language Models [0.03%]
利用大型语言模型在国家医疗体系中表型前列腺癌
Michael P Dykstra,Phoebe A Tsao,Megan E V Caram et al.
Michael P Dykstra et al.
Purpose: Large language models (LLMs) may improve extraction of prognostic variables in prostate cancer from unstructured clinical text compared with traditional, rule-based natural language processing. ...
Influence of Artificial Intelligence Assistance on Gleason Grading and Prostate Cancer Detection by Uropathologists in Daily Practice: A Prospective Multicenter Study [0.03%]
人工智能辅助对泌尿系统病理学家日常实践中格莱森分级和前列腺癌检测的影响：一项前瞻性多中心研究
Jacqueline E van Hees,Paul J van Diest,Tri Q Nguyen et al.
Jacqueline E van Hees et al.
Purpose: This prospective multicenter study evaluated the real-world influence of artificial intelligence (AI) assistance on Gleason grading and prostate cancer detection. ...
Multimodal Machine Learning for Early Prediction of Metastasis in a Swedish Multicancer Cohort [0.03%]
基于瑞典多癌种队列的多模态机器学习癌症转移早期预测研究
Franco Rugolon,Korbinian Randl,Braslav Jovanovic et al.
Franco Rugolon et al.
Purpose: Multimodal machine learning offers a holistic view of a patient's status, integrating structured and unstructured data from electronic health records (EHR). We propose a framework to predict metastasis risk 1 mon...
JCO Clinical Cancer Informatics Special Series on Catchment Area Analysis [0.03%]
JCO肿瘤学临床信息专刊：服务范围分析系列文章
Todd Burus,Madhusmita Behera
Todd Burus
Cancer Surveillance and Geospatial Analytics for Cancer Prevention Research in the Catchment Area of a National Cancer Institute-Designated Comprehensive Cancer Center: The SCAN360 Experience in South Florida [0.03%]
国家癌症研究所指定的综合癌症中心服务区的癌症监测和空间分析在佛罗里达州南部的SCAN360经验
Ming S Lee,Rebecca E Kaiser,Sarah W Metalonis et al.
Ming S Lee et al.
Purpose: Although cancer centers need geospatially referenced cancer surveillance systems to track disease incidence and mortality rates for the communities they serve, most do not have the tools to allow them to identify...