Pierre Etienne Heudel,Myriam Ait Ichou,Bertrand Favier et al.
Pierre Etienne Heudel et al.
Purpose: Therapeutic compliance, or adherence, is critical in oncology because of the complexity and duration of cancer treatment regimens. Nonadherence can lead to suboptimal therapeutic outcomes, increased disease progr...
Exploring Long-Term Determinants and Attitudes Toward Smartphone-Based Commercial Health Care Applications Among Patients With Cancer [0.03%]
癌症患者长期使用基于智能手机的商业医疗应用的决定因素和态度探究
Yae Won Tak,Ye-Eun Park,Seunghee Baek et al.
Yae Won Tak et al.
Purpose: Our study explores how attitudes of patients with cancer toward smartphone-based commercial health care apps affect their use and identifies the influencing factors. ...
Pasquale F Innominato,Nicholas I Wreglesworth,Alessio Antonini et al.
Pasquale F Innominato et al.
Development and Portability of a Text Mining Algorithm for Capturing Disease Progression in Electronic Health Records of Patients With Stage IV Non-Small Cell Lung Cancer [0.03%]
一种用于捕获四期非小细胞肺癌患者电子健康记录中疾病发展的文本挖掘算法的开发和移植能力研究
M V Verschueren,H Abedian Kalkhoran,M Deenen et al.
M V Verschueren et al.
Purpose: The objective was to develop and evaluate the portability of a text mining algorithm for prospectively capturing disease progression in electronic health record (EHR) data of patients with metastatic non-small ce...
Informatics and Artificial Intelligence-Guided Assessment of the Regulatory and Translational Research Landscape of First-in-Class Oncology Drugs in the United States, 2018-2022 [0.03%]
美国首创肿瘤药物的监管和转化研究现状（2018-2022年）的信息学与人工智能评估
Jay G Ronquillo,Brett South,Prakash Naik et al.
Jay G Ronquillo et al.
Purpose: Cancer drug development remains a critical but challenging process that affects millions of patients and their families. Using biomedical informatics and artificial intelligence (AI) approaches, we assessed the r...
Observational Study
JCO clinical cancer informatics. 2024 Oct:8:e2400087. DOI:10.1200/CCI.24.00087 2024
Smartwatch Biometrics in the Electronic Medical Record: Time for a New Vital Sign? [0.03%]
智能手表生物识别在电子病历中的应用：是时候加入新的生命体征了吗？
Srishti Sankaran,Rahul Banerjee
Srishti Sankaran
Smartphone biometrics in the EMR: is the 5th vital sign here? @JCOCCI_ASCO commentary by Sankaran and @RahulBanerjeeMD here.
Automated, Real-Time Integration of Biometric Data From Wearable Devices With Electronic Medical Records: A Feasibility Study [0.03%]
来自可穿戴设备的生物识别数据与电子健康记录的自动实时集成：一项可行性研究
Julius K Weng,Ritupreet Virk,Kels Kaiser et al.
Julius K Weng et al.
Purpose: A major barrier to the incorporation of biometric data into clinical practice is the lack of device integration with electronic medical records (EMRs). We developed infrastructure to transmit biometric data from ...
Development and Optimization of a Bladder Cancer Algorithm Using SEER-Medicare Claims Data [0.03%]
基于SEER-Medicare理赔数据的膀胱癌算法的开发与优化
John L Gore,Phoebe Wright,Vanessa Shih et al.
John L Gore et al.
Purpose: Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, algorithms ar...
Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction [0.03%]
基于深度学习的影像组学特征可改善前列腺癌侵袭性预测能力
Nuno M Rodrigues,José Guilherme de Almeida,Ana Rodrigues et al.
Nuno M Rodrigues et al.
Purpose: Emerging evidence suggests that the use of artificial intelligence can assist in the timely detection and optimization of therapeutic approach in patients with prostate cancer. The conventional perspective on rad...
Machine Learning-Driven Phenogrouping and Cardiorespiratory Fitness Response in Metastatic Breast Cancer [0.03%]
机器学习驱动的转移性乳腺癌表型分组和心肺功能反应
Robert T Novo,Samantha M Thomas,Michel G Khouri et al.
Robert T Novo et al.
Purpose: The magnitude of cardiorespiratory fitness (CRF) impairment during anticancer treatment and CRF response to aerobic exercise training (AT) are highly variable. The aim of this ancillary analysis was to leverage m...
Randomized Controlled Trial
JCO clinical cancer informatics. 2024 Sep:8:e2400031. DOI:10.1200/CCI.24.00031 2024