Clinical Applications of Fractional Flow Reserve Derived from Computed Tomography in Coronary Artery Disease [0.03%]
冠状动脉疾病CT血流储备分数衍生值的临床应用分析
Cappi Chan,Min Wang,Luoyi Kong et al.
Cappi Chan et al.
Computer tomography-derived fractional flow reserve (CT-FFR) represents a significant advancement in noninvasive cardiac functional assessment. This technology uses computer simulation and anatomical information from computer tomography of ...
D M Anisuzzaman,Jeffrey G Malins,Paul A Friedman et al.
D M Anisuzzaman et al.
Large language models (LLMs) are a type of artificial intelligence, which operate by predicting and assembling sequences of words that are statistically likely to follow from a given text input. With this basic ability, LLMs are able to ans...
Development of a Human Factors-Based Guideline to Support the Design, Evaluation, and Continuous Improvement of Clinical Decision Support [0.03%]
基于人机工程学的临床决策支持设计、评估和持续改进指南的制定与发展
Selvana Awad,Thomas Loveday,Richard Lau et al.
Selvana Awad et al.
Objective: To develop a vendor-agnostic, human factors (HF)-based guideline to guide the design, evaluation, and continuous improvement of clinical decision support (CDS). ...
Toward Safe and Ethical Implementation of Health Care Artificial Intelligence: Insights From an Academic Medical Center [0.03%]
面向安全且道德的医疗保健人工智能实施之路——一家学术医学中心的观点和见解
Austin M Stroud,Michele D Anzabi,Journey L Wise et al.
Austin M Stroud et al.
Claims abound that advances in artificial intelligence (AI) will permeate virtually every aspect of medicine and transform clinical practice. Simultaneously, concerns about the safety and equity of health care AI have prompted ethical and r...
Impact of Ambient Artificial Intelligence Documentation on Cognitive Load [0.03%]
ambient人工智能文档对认知负荷的影响
Taina J Hudson,Michael Albrecht,Timothy R Smith et al.
Taina J Hudson et al.
Optimizing Input Selection for Cardiac Model Training and Inference: An Efficient 3D Convolutional Neural Networks-Based Approach to Automate Coronary Angiogram Video Selection [0.03%]
一种基于高效3D卷积神经网络的心脏模型训练和推理的输入选择优化方法及自动化冠状动脉造影视频选择的方法
Shih-Sheng Chang,Behrouz Rostami,Gerardo LoRusso et al.
Shih-Sheng Chang et al.
Objective: To develop an efficient and automated method for selecting appropriate coronary angiography videos for training deep learning models, thereby improving the accuracy and efficiency of medical image analysis. ...
Policing the Boundary Between Responsible and Irresponsible Placing on the Market of Large Language Model Health Applications [0.03%]
规范大型语言模型健康应用负责任投放市场的边界执法
Oscar Freyer,Isabella C Wiest,Stephen Gilbert
Oscar Freyer
Assessing Equitable Development and Implementation of Artificial Intelligence-Enabled Patient Engagement Technologies: A Sociotechnical Systems Approach [0.03%]
从社会技术系统的角度评估公平发展和实施基于人工智能的患者参与技术
Wiljeana Glover,Marina Renton,Hanna Minaye et al.
Wiljeana Glover et al.
Predicting Inpatient Admissions From Emergency Department Triage Using Machine Learning: A Systematic Review [0.03%]
基于机器学习的急诊分诊预测住院量：系统评价研究
Ethan L Williams,Daniel Huynh,Mohamed Estai et al.
Ethan L Williams et al.
This study aimed to evaluate the quality of evidence for using machine learning models to predict inpatient admissions from emergency department triage data, ultimately aiming to improve patient flow management. A comprehensive literature s...
William S Ogan,Christopher A Longhurst
William S Ogan