Mustafa Ozkaynak,Saira Haque,Kim M Unertl et al.
Mustafa Ozkaynak et al.
Objective: To develop recommendations to inform the development and use of pragmatic workflow approaches. Problem description: Workflow...
Auditing shortcut learning and misclassification in artificial intelligence-based breast cancer genomic subtyping [0.03%]
乳腺癌基因分型的基于人工智能的快捷学习和误分类审计
Julian Borges
Julian Borges
Objectives: To simulate shortcut learning mechanisms in AI-based breast cancer genomic subtyping and to develop an interpretable, reproducible framework capable of auditing feature over-reliance using a low-code environme...
Development and evaluation of machine learning models for the detection of emergency department patients with opioid misuse from clinical notes [0.03%]
用于从临床记录中检测急诊科患者滥用阿片类药物的机器学习模型的开发与评估
Usman Shahid,Natalie Parde,Dale L Smith et al.
Usman Shahid et al.
Objectives: The accurate identification of Emergency Department (ED) encounters involving opioid misuse is critical for health services, research, and surveillance. We sought to develop natural language processing (NLP)-b...
Providing routine digital recordings of clinic visits to patients: a multiple-case study of three settings in the U.S [0.03%]
门诊就诊常规数字录音给病人：美国三个场景的多案例研究
Paul J Barr,Michelle D Dannenberg,Craig H Ganoe et al.
Paul J Barr et al.
Objective: To explore the impact, barriers, and facilitators of routinely sharing clinic visit recordings with patients in diverse clinical settings. Mate...
Detecting stigmatizing language with large language models: mind the settings [0.03%]
用大型语言模型检测污名化语言：注意设置因素的影响
Teenu Xavier,Jane M Carrington,Joshua Lambert W
Teenu Xavier
Background: Stigmatizing language in clinical documentation can contribute to healthcare disparities and affect patient-provider relationships. Given their strong capacity for contextual language understanding, large lang...
Understanding data differences across the ENACT federated research network [0.03%]
理解ENACT联邦研究网络中的数据差异
Taowei D Wang,Darren W Henderson,Griffin M Weber et al.
Taowei D Wang et al.
Objective: Federated research networks, like Evolve to Next-Gen Accrual of patients to Clinical Trials (ENACT), aim to facilitate medical research by exchanging electronic health record (EHR) data. However, poor data qual...
Automating the segmentation, date extraction, and classification of multi-report PDFs in outside medical records using optical character recognition and generative artificial intelligence [0.03%]
基于光学字符识别和生成型人工智能的外部医学记录多报告PDF自动化分段、日期提取和分类
Shivam Damani,Benjamin Hinton,Tanner Hunt et al.
Shivam Damani et al.
Objectives: Patients referred for specialized care often arrive with outside medical records (OMRs) compiled into multi-report PDFs that include imaging, pathology, and clinical notes in unstructured formats. Reviewing th...
Privacy-preserving verification of preprocessing in federated learning for genomic data [0.03%]
用于基因组数据的联邦学习中预处理隐私保护验证
Wenbiao Li,Anisa Halimi,Jaideep Vaidya et al.
Wenbiao Li et al.
Objectives: To verify that federated genomic study sites applied identical preprocessing pipelines without disclosing raw genotypes. Materials and methods...
Converting unstructured cardiac catheterization and echocardiography reports into structured data using transformer-based language models [0.03%]
基于变压器的语言模型将无结构的心导管和超声心动图报告转换为结构化数据
Fagen Xie,Ming-Sum Lee,Wansu Chen et al.
Fagen Xie et al.
Objectives: Echocardiography and cardiac catheterization reports capture important clinical assessment information of cardiac function and disease severity. This study explores using open-source transformer-based language...
The effect of adding visual summaries to data visualizations on patient judgments of hypertension control [0.03%]
添加视觉摘要对数据可视化的影响：对患者判断高血压控制情况的效果研究
Victoria A Shaffer,Sean Duan,Pete Weiger et al.
Victoria A Shaffer et al.
Objectives: To test the impact of visual summaries of blood pressure (BP) data (eg, stoplight and gradient displays), within the context of a patient-facing digital application connected to the EHR, on patient judgments a...