Maximizing Efficiency of Artificial Intelligence-Enabled Ambient Scribes in Outpatient Settings: A Pragmatic Approach to Structuring the Patient Appointment [0.03%]
基于人工智能的环境录音技术在外科门诊应用中的效率最大化：构建结构化患者就诊的实用方法
Jason D Greenwood,Marc R Matthews,Joshua D Overgaard et al.
Jason D Greenwood et al.
Leveraging Artificial Intelligence to Enhance Oncology Care Delivery in Sub-Saharan Africa [0.03%]
利用人工智能增强撒哈拉以南非洲地区肿瘤学护理的提供
Jasmine G Hughes,Ketan Tamirisa,Ammar Dharani et al.
Jasmine G Hughes et al.
Evaluation of an Artificial Intelligence Defined Lung Nodule Malignancy Score in Incidental Pulmonary Nodules: The CREATE Study [0.03%]
基于人工智能的肺结节恶性评分在偶发肺结节中的评估：CREATE研究
Deniz Koksal,Arunkumar Govindarajan,Hari Kishan Gonuguntla et al.
Deniz Koksal et al.
Objective: To evaluate the effectiveness of the artificial intelligence-based qXR lung nodule malignancy score (qXR-LNMS) in detecting high-risk incidental pulmonary nodules (IPNs) on chest X-rays (CXRs). ...
The AENEAS Project: Intraoperative Anatomical Guidance Through Real-Time Landmark Detection Using Machine Vision [0.03%]
AENEAS项目：通过机器视觉实时检测解剖标志进行术中解剖定位指导
Simone Olei,Gary Sarwin,Victor E Staartjes et al.
Simone Olei et al.
Objective: To investigate the performance of a deep learning machine vision-based model in identifying anatomical landmarks in a complex microsurgical setting, such as the pterional trans-Sylvian approach. ...
Uncontrolled Semantic Adaptation in Clinical Evaluation of Large Language Models [0.03%]
大规模语言模型的临床评估中的无控语义适应
Alfredo Di Giovanni
Alfredo Di Giovanni
Hamid R Tizhoosh
Hamid R Tizhoosh
Increased Utilization of Telemedical Emergency and Nonurgent Care Following Deployment of Virtual Triage and Care Referral in Australia [0.03%]
澳大利亚部署虚拟分诊和护理转介后的远程医疗急救和非紧急医疗服务利用增加
George A Gellert,Bettina McMahon,Tim Price et al.
George A Gellert et al.
Objective: To evaluate whether an artificial intelligence-based national virtual triage and care referral (VTCR) service in Australia improved care acuity level alignment, increased patient engagement of telemedicine serv...
Dominik Naumann,Tatjana Amler,Doreen Schoeppenthau et al.
Dominik Naumann et al.
Cardiovascular and chronic disease prevention remains limited by episodic, clinic-based assessments that fail to capture physiological changes arising in daily life. As mobility constitutes one of the most stable and repetitive environments...
Acceptability of Using Artificial Intelligence in the National Health Service Breast Screening Program: A Randomized Online Survey of Screening-Eligible Women in England [0.03%]
英国国民保健制度乳腺筛查项目中应用人工智能的接受度：英格兰符合筛查条件的女性中开展的一项随机在线调查
Lauren Gatting,Charlotte Kelley Jones,Babak Jamshidi et al.
Lauren Gatting et al.
Objective: To compare acceptability of 2 artificial intelligence (AI) use cases in the English National Health Servic Breast Screening Program. Patients a...