Managing Postembolization Syndrome Through a Machine Learning-Based Clinical Decision Support System: A Randomized Controlled Trial [0.03%]
基于机器学习的临床决策支持系统在后介入综合征管理中的有效性研究：随机对照试验
Minkyeong Kang,Myoung Soo Kim
Minkyeong Kang
Although transarterial chemoembolization has improved as an interventional method for hepatocellular carcinoma, subsequent postembolization syndrome is a threat to the patients' quality of life. This study aimed to evaluate the effectivenes...
Randomized Controlled Trial
Computers, informatics, nursing : CIN. 2024 Nov 1;42(11):817-828. DOI:10.1097/CIN.0000000000001188 2024
Heather DeGrande,Miguel Perez rd
Heather DeGrande
For nurse leaders to excel in leadership roles in the clinical world of informatics, a comprehensive understanding of nursing informatics as translated within the broader scope of health informatics including clinical informatics and busine...
A Scoping Review of Studies Using Artificial Intelligence Identifying Optimal Practice Patterns for Inpatients With Type 2 Diabetes That Lead to Positive Healthcare Outcomes [0.03%]
利用人工智能识别2型糖尿病住院患者的最佳实践模式以获得积极的医疗结果的文献综述
Pankaj K Vyas,Krista Brandon,Sheila M Gephart
Pankaj K Vyas
The objective of this scoping review was to survey the literature on the use of AI/ML applications in analyzing inpatient EHR data to identify bundles of care (groupings of interventions). If evidence suggested AI/ML models could determine ...
Development of a Predictive Model for Survival Over Time in Patients With Out-of-Hospital Cardiac Arrest Using Ensemble-Based Machine Learning [0.03%]
基于集成的机器学习在外院心脏骤停患者时间生存预测模型中的发展
Hong-Jae Choi,Changhee Lee,JinHo Chun et al.
Hong-Jae Choi et al.
As of now, a model for predicting the survival of patients with out-of-hospital cardiac arrest has not been established. This study aimed to develop a model for identifying predictors of survival over time in patients with out-of-hospital c...
Foundation Models, Generative AI, and Large Language Models: Essentials for Nursing [0.03%]
基础模型、生成式AI和大型语言模型：护理学基础知识
Angela Ross,Kathleen McGrow,Degui Zhi et al.
Angela Ross et al.
We are in a booming era of artificial intelligence, particularly with the increased availability of technologies that can help generate content, such as ChatGPT. Healthcare institutions are discussing or have started utilizing these innovat...
Letter to the Editor [0.03%]
致编者信
Hinpetch Daungsupawong,Viroj Wiwanitkit
Hinpetch Daungsupawong
Heather D Carter-Templeton
Heather D Carter-Templeton
Generative Artificial Intelligence Detectors and Accuracy: Implications for Nurses [0.03%]
生成式人工智能检测器与准确性：对护士的启示
Theda Jody Hostetler,Jacqueline K Owens,Julee Waldrop et al.
Theda Jody Hostetler et al.