A comparative performance analysis of regular expressions and a large language model-based approach to extract the BI-RADS score from radiological reports [0.03%]
基于正则表达式和大型语言模型的BI-RADS评分提取方法比较性能分析
Fabio Dennstädt,Luc Lerch,Max Schmerder et al.
Fabio Dennstädt et al.
Background: Different natural language processing (NLP) techniques have demonstrated promising results for data extraction from radiological reports. Both traditional rule-based methods like regular expressions (Regex) an...
Co-design of clinician-facing report and implementation pathway for a digital questionnaire for reporting head and neck cancer symptoms [0.03%]
头颈癌症状数字问卷的临床医生面对的报告和实施路径的联合设计
Chinasa Odo,Nikki Rousseau,Joanne Patterson et al.
Chinasa Odo et al.
Objective: This research aimed to design and evaluate a clinician-facing report generated from the SYmptom iNput Clinical (SYNC) system, a digital questionnaire for patients to report Head and Neck Cancer (HNC) symptoms a...
Using natural language processing to identify symptoms in systemic mastocytosis [0.03%]
利用自然语言处理识别系统性肥大细胞增生症的症状
Fagen Xie,Kevin Y Tse,Chantal C Avila et al.
Fagen Xie et al.
Background: Systemic mastocytosis (SM) is a rare disorder with heterogeneous, multisystem symptoms that often lead to diagnostic delays. Real-world symptom documentation in unstructured clinical notes may hold untapped po...
Extracting TNFi switching reasons and trajectories from real-world data using large language models [0.03%]
利用大型语言模型从真实世界数据中提取TNF抑制剂切换原因和轨迹
Brenda Y Miao,Marie Binvignat,Augusto Garcia-Agundez et al.
Brenda Y Miao et al.
Background and significance: To evaluate whether large language models (LLMs) can automate chart review to identify tumor necrosis factor inhibitor (TNFi) switching patterns and reasons for switching in a large real-world...
Using mixture cure models to address algorithmic bias in diagnostic timing: autism as a test case [0.03%]
使用混合治愈模型解决诊断时间中的算法偏差问题——以自闭症为例
Peng Wu,Naomi O Davis,Matthew M Engelhard et al.
Peng Wu et al.
Objectives: To address algorithmic bias in clinical prediction models related to the timing of diagnosis, we evaluated the efficacy of mixture cure models that integrate time-to-event and binary classification frameworks ...
Toward precision stroke rehabilitation: an integrated causal machine learning and clinician feedback approach [0.03%]
精准中风康复：因果机器学习和临床医生反馈相结合的方法
Aaron Baird,Houping Xiao,Yusen Xia et al.
Aaron Baird et al.
Objectives: To identify causal mechanisms driving variations in the impact of rehabilitation treatments on stroke survivors' independence improvement during rehabilitation inpatient stays. ...
A quantitative and qualitative assessment of differential privacy's ability to support collaborative research using a real-world data analysis [0.03%]
差分隐私支持现实世界数据分析中协作研究的定量与定性评估
David P Gieser,Ashna R Arya,Rebecca Lee Smith et al.
David P Gieser et al.
Objective: Sharing clinical data for research that is both collaborative and privacy-preserving remains a challenge. Differential privacy (DP) offers a solution by introducing noise to query results. Using the PrivateSQL ...
Patient and clinician perspectives in the use of machine learning and artificial intelligence in the context of acute neurology [0.03%]
急性神经病学背景下机器学习和人工智能的使用：患者和临床医生的观点
Egide Abahuje,Ethan J Houskamp,Juliana Silva Pinheiro do Nascimento et al.
Egide Abahuje et al.
Background: Clinician perspectives on machine learning and artificial intelligence (ML/AI) vary with discipline. However, fewer studies describe patient perspectives and address medical situations that require rapid decis...
Prediction of pharmacist medication interventions using medication regimen complexity [0.03%]
基于复杂性用药方案的药师干预预测模型研究
Bokai Zhao,Ye Shen,John W Devlin et al.
Bokai Zhao et al.
Background: Critically ill patients are managed with complex medication regimens that require medication management to optimize safety and efficacy. When performed by a critical care pharmacist (CCP), discrete medication ...
Development of a novel web-based platform to support culturally and medically tailored comprehensive nutrition assessments: SPICE-Healthcare [0.03%]
一种新型基于网络的平台开发支持文化和医学量身定制的综合营养评估：SPICE-医疗保健
Minakshi Raj,Haeley Peters,Jemimah Bakare et al.
Minakshi Raj et al.
Objectives: A point-of-care resource is required to support Registered Dietitian Nutritionists (RDNs) in providing comprehensive culturally-tailored nutrition services. This study aims to describe the iterative developmen...