Gender Disparities in Artificial Intelligence-Generated Images of Hospital Leadership in the United States [0.03%]
美国人工智能生成的医院领导图像中的性别差异
Mia Gisselbaek,Joana Berger-Estilita,Laurens Minsart et al.
Mia Gisselbaek et al.
Objective: To evaluate demographic representation in artificial intelligence (AI)-generated images of hospital leadership roles and compare them with real-world data from US hospitals. ...
Validation Study on Iatrogenic Nerve Damage Reduction Using Augmented Reality on Elbow Phantom [0.03%]
基于肘部模型的增强现实减少医源性神经损伤的有效性研究
Giacomo Riberi,Antonio Cangelosi,Paolo Titolo et al.
Giacomo Riberi et al.
Objective: To compare augmented reality (AR) and classical intraoperative C-arm surgical navigation and evaluate whether head-mounted display improves surgical accuracy in the placement of a rod-like object, such as K-wir...
Erratum to "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 ”一文的勘误
[This corrects the article DOI: 10.1016/j.mcpdig.2024.100193.]. © 2025 The Authors.
Quantifying the Unknowns of Plaque Morphology: The Role of Topological Uncertainty in Coronary Artery Disease [0.03%]
量化斑块形态的未知因素：拓扑不确定性在冠状动脉疾病中的作用
Yashbir Singh,Quincy A Hathaway,Karthik Dinakar et al.
Yashbir Singh et al.
This article aimed to explore topological uncertainty in medical imaging, particularly in assessing coronary artery calcification using artificial intelligence (AI). Topological uncertainty refers to ambiguities in spatial and structural ch...
Housing Characteristics of Areas With More Falls by Older Adults Living in Single-Family Detached Dwellings: A Cohort Study Using Geospatial Analysis [0.03%]
一项基于地理空间分析的队列研究：老年人居住的独栋住宅区发生更多跌落事故的特点分析
Paul Y Takahashi,Euijung Ryu,Katherine S King et al.
Paul Y Takahashi et al.
Objective: To identify geographic locations with high numbers of medically attended falls (ie, hotspots) by older adults and to test the associations between fall hotspots and resident/housing characteristics. ...
Exploring the Impact of 3D Fast Spin Echo and Inversion Recovery Gradient Echo Sequences Magnetic Resonance Imaging Acquisition on Automated Brain Tumor Segmentation [0.03%]
探究3D快速自旋回波和反转恢复梯度回波序列磁共振成像对脑肿瘤自动分割的影响
Mana Moassefi,Shahriar Faghani,Sara Khanipour Roshan et al.
Mana Moassefi et al.
Objective: To conduct a study comparing the performance of automated segmentation techniques using 2 different contrast-enhanced T1-weighted (CET1) magnetic resonance imaging (MRI) acquisition protocol. ...
Assessment of Positive Cardiac Remodeling in Hypertrophic Obstructive Cardiomyopathy Using an Artificial Intelligence-Based Electrocardiographic Platform in Patients Treated With Mavacamten [0.03%]
评估 mavacamten 治疗肥厚性梗阻型心肌病患者的心电图人工智能平台对良性心脏重塑的评价
Mustafa Suppah,Kaitlin Roehl,Kathryn Lew et al.
Mustafa Suppah et al.
Raseen Tariq,Elida Voth,Sahil Khanna
Raseen Tariq
Navigating clinical guidelines can be complex for real-time health care decision making. Our study evaluates the chat generative prerained transformer (ChatGPT)-4 in improving responses to clinical questions by integrating guidelines on Clo...
Cautions and Considerations in Artificial Intelligence Implementation for Child Abuse: Lessons from Japan [0.03%]
关于儿童虐待的人工智能应用的警示与考量——来自日本的教训
Shotaro Kinoshita,Hiromi Yokoyama,Taishiro Kishimoto
Shotaro Kinoshita
The Development and Performance of a Machine-Learning Based Mobile Platform for Visually Determining the Etiology of 5 Penile Diseases [0.03%]
基于机器学习的移动平台用于确定五种阴茎疾病病因的开发与性能评估研究
Lao-Tzu Allan-Blitz,Sithira Ambepitiya,Raghavendra Tirupathi et al.
Lao-Tzu Allan-Blitz et al.
Objective: To develop a machine-learning visual classification algorithm for penile diseases in order to address disparities in access to sexual health services. ...