A systematic review on the impact of artificial intelligence on electrocardiograms in cardiology [0.03%]
人工智能在心脏病学心电图影响的系统性回顾
Oluwafemi Ayotunde Oke,Nadire Cavus
Oluwafemi Ayotunde Oke
Background: Artificial intelligence (AI) has revolutionized numerous industries, enhancing efficiency, scalability, and insight generation. In cardiology, particularly through electrocardiogram (ECG) analysis, AI has the ...
Health information system support for collaboration between physicians and registered nurses: National cross-sectional user experience surveys from 2010 to 2023 [0.03%]
2010年至2023年全国横断面用户体验调查中的医师和注册护士合作的卫生信息系统支持
Tinja Lääveri,Johanna Viitanen,Minna Mykkänen et al.
Tinja Lääveri et al.
Background: In addition to storing patient data, health information systems (HISs) should advance continuity and quality of care by supporting collaboration between physicians and registered nurses (RNs). Our aim was to s...
Estimated carbon emissions and support cost savings to telemedicine for patients with tracheal diseases [0.03%]
估算气管疾病患者的远程医疗服务碳排放和补贴成本节约状况
Pedro Prosperi Desenzi Ciaralo,Paulo Francisco Guerreiro Cardoso,Helio Minamoto et al.
Pedro Prosperi Desenzi Ciaralo et al.
Objective: The patient's journey to the medical center for an outpatient visit can often mean hours of travel in their vehicle, leading to increased expenses and greater carbon dioxide (CO2) emissions into the environment...
Evaluation of a low-cost training application to train microelectrode recording identification in deep brain stimulation surgeries [0.03%]
低成本训练应用程序评估在深部脑刺激手术中训练微电极记录识别的能力
Ignacio Oropesa,Marta Naranjo-Castresana,Marta Colmenar et al.
Ignacio Oropesa et al.
Objective: Deep brain stimulation (DBS) is a surgical technique that alleviates motor symptoms in Parkinson's disease. Surgically implanted microelectrodes stimulate the basal ganglia to improve patients' symptoms. One of...
Preliminary findings regarding the association between patient demographics and ED experience scores across a regional health system: A cross sectional study using natural language processing of patient comments [0.03%]
一项横断面研究的初步发现：在一个区域卫生系统内，利用自然语言处理患者评论，探讨患者的人口统计学特征与急诊体验评分之间的联系
Diane Kuhn,Nicholas E Harrison,Paul I Musey Jr et al.
Diane Kuhn et al.
Objective: Existing literature shows associations between patient demographics and reported experiences of care, but this relationship is poorly understood. Our objective was to use natural language processing of patient ...
Assessing AI Simplification of Medical Texts: Readability and Content Fidelity [0.03%]
评估AI简化医学文本的效果：可读性和内容忠实度
Bryce Picton,Saman Andalib,Aidin Spina et al.
Bryce Picton et al.
Introduction: The escalating complexity of medical literature necessitates tools to enhance readability for patients. This study aimed to evaluate the efficacy of ChatGPT-4 in simplifying neurology and neurosurgical abstr...
Multi-horizon event detection for in-hospital clinical deterioration using dual-channel graph attention network [0.03%]
基于双通道图注意力网络的住院临床病情恶化多时间跨度事件检测方法
Thanh-Cong Do,Hyung-Jeong Yang,Soo-Hyung Kim et al.
Thanh-Cong Do et al.
Objective: In hospitals globally, the occurrence of clinical deterioration within the hospital setting poses a significant healthcare burden. Rapid clinical intervention becomes a crucial task in such cases. In this resea...
Probabilistic prediction of arrivals and hospitalizations in emergency departments in Île-de-France [0.03%]
预测法兰西岛地区急诊科的到访量和住院人数的概率模型
Herbert Susmann,Antoine Chambaz,Julie Josse et al.
Herbert Susmann et al.
Background: Forecasts of future demand is foundational for effective resource allocation in emergency departments (EDs). As ED demand is inherently variable, it is important for forecasts to characterize the range of poss...
The digital prescription: A systematic review and meta-analysis of smartphone apps for blood pressure control [0.03%]
基于智能手机应用程序的血压管理：系统综述和荟萃分析
Emily Motta-Yanac,Victoria Riley,Naomi J Ellis et al.
Emily Motta-Yanac et al.
Objective: Assess the effectiveness of digital health interventions (DHIs) in reducing blood pressure (BP) among individuals with high blood pressure and identify the impact of age, sex, and phone-based delivery methods o...
Error rates of data processing methods in clinical research: A systematic review and meta-analysis of manuscripts identified through PubMed [0.03%]
临床研究中数据处理方法的错误率：通过PubMed识别的文献的系统评价和meta分析
Maryam Y Garza,Tremaine Williams,Songthip Ounpraseuth et al.
Maryam Y Garza et al.
Background: In clinical research, prevention of data errors is paramount to ensuring reproducibility of trial results and the safety and efficacy of the resulting interventions. Over the last 40 years, empirical assessmen...