Graph Network Feature Space Fusion for Predicting Irregularly Sampled Medical Time-Series Data: Deep Learning Model Development and Validation Study [0.03%]
基于图网络特征空间融合的医疗时间序列数据预测模型研发和验证研究
Tianle Hong,Zedong Ren,Junfei Fang et al.
Tianle Hong et al.
Background: Irregularly sampled data, as a common data structure in the medical field, is frequently observed in emergency clinical datasets. It poses problems such as unequal sampling time intervals and frequencies, maki...
Intrasystem Repeatability of S-Detect for Breast Ultrasound Classification With Identical Static Images: Single-Center Retrospective Repeatability Study [0.03%]
S-Detect乳腺超声分类的系统内重复性研究（使用相同静态图像的单中心回顾性研究）
Liang Yongping,Ping Zhou,Yang Wang et al.
Liang Yongping et al.
Background: Computer-aided diagnostic systems such as S-Detect (Samsung Medison) are increasingly integrated into breast ultrasound workflows. Notwithstanding extensive past evaluation of S-Detect's diagnostic accuracy, i...
Clinician Perspectives on Ambient AI Scribes in the Intensive Care Unit: Qualitative Interview Study [0.03%]
重症监护室临床医生对环境人工智能记录员的看法：定性访谈研究
Laleh Jalilian,Navid Manafi,Matthew Scott Vandiver et al.
Laleh Jalilian et al.
Background: In intensive care unit (ICU) settings, structured team-based communication, such as multidisciplinary rounds, handoffs, and goals-of-care discussions, is foundational to high-quality care. However, accurately ...
IdeaDistiller-AI Support for Idea Synthesis in Concept Mapping: Algorithm Development and Validation Study [0.03%]
基于概念映射的AI支持的想法综合：算法开发与验证研究
Chatrine Qwaider,Nora K Speicher,Anna E Genell et al.
Chatrine Qwaider et al.
Background: Concept mapping (CM) is a widely used mixed method research approach for structuring and visualizing complex ideas across various fields, such as the health sciences. A critical bottleneck in the CM process is...
Helen Curtis,Peter Inglesby,Ben Goldacre et al.
Helen Curtis et al.
We discovered that the official list of clinical codes for pregnancy during the COVID-19 pandemic identified some unlikely pregnancies (for example, in older men), principally due to a code describing a specific fetal position ("knee presen...
Selecting, Scaling, and Measuring the Value of Ambient AI in a Nonacademic Health System: Multiphase Pilot Study [0.03%]
选择、缩放和衡量非学术医疗系统中环境AI的价值：多阶段试点研究
Bryon Kenneth Frost,Victor Eugene Collier,Franklin Sturgill et al.
Bryon Kenneth Frost et al.
Background: Most US health systems operate on a local or regional scale and face substantial financial and staffing pressures, which are intensified by challenges related to physician satisfaction and difficulties in recr...
Prediction of Early Hospital Admission (≤24 Hours) After Stroke Using Machine Learning and Deep Learning: Multicenter Study From China [0.03%]
基于机器学习和深度学习的卒中早期(24小时内)住院预测:来自中国的多中心研究
Qingjia Zeng,Jiachen Cui,Xinyu Fan et al.
Qingjia Zeng et al.
Background: Timely hospital admission is a prerequisite for effective acute stroke management, yet a substantial proportion of patients fail to reach medical facilities within the optimal therapeutic window. Existing pred...
Multicenter Study
JMIR medical informatics. 2026 Jun 24:14:e90852. DOI:10.2196/90852 2026
Assessing the Feasibility and Acceptability of Implementing a Preclinic Vital Signs Assessment in Primary Care: Cross-Sectional Pilot Study [0.03%]
基层医疗中实施诊前生命体征检查的可行性和可接受性评估：横断面试点研究
John Broughan,Seán McMahon,Steen Gordon et al.
John Broughan et al.
Background: Vital signs are objective measurements of the body's most basic, essential functions, indicating overall health status. However, such assessments are time-consuming and so are not always prioritized. Measuring...
Candidate Passive Sensor Suite Technologies for Tactical Combat Casualty Care Environments: Comparative Assessment Study [0.03%]
战术战伤救治环境下的被动式传感器套装技术候选方案：对比评估研究
Ericka Stoor-Burning,James Gaudaen,Holly Pavliscsak et al.
Ericka Stoor-Burning et al.
Background: The United States Army Institute for Surgical Research conducted an analysis of 3 prototype sensor suites; all candidates were designed to passively document care delivery in tactical combat casualty care envi...
Comparative Study
JMIR medical informatics. 2026 Jun 24:14:e84900. DOI:10.2196/84900 2026
Relevance of the uMap Collaborative Platform as Support for Choropleth Mapping: A Traffic‒Light Statistical Signal Atlas of All-Cause Mortality-First French Lockdown [0.03%]
uMap协作平台作为交通灯统计符号法全因死亡率地图制图支持的相关性——以法国首次全面封锁为例
Anne Quesnel-Barbet,Thierry Pages,Julien Soula et al.
Anne Quesnel-Barbet et al.
Background: The growing need for and interest in geomatics in the medical sector, as well as the pandemic crisis, led us to create a France-wide geomatics project aimed at producing several atlases of all-cause mortality ...