Ambient AI Scribe Implementation in an Ambulatory Setting in a Single Medical Group: Prospective Study [0.03%]
单一医疗集团门诊环境中的 Ambient AI 系统实施：前瞻性研究
Cameron J Harvey,Josiah Morita,William Huynh et al.
Cameron J Harvey et al.
Background: Health care providers spend an excessive amount of time within electronic medical record (EMR) systems documenting patient encounters, often amounting to hours of work outside of regular office hours. This aff...
Machine Learning-Based Prognostic Models for Functional Outcomes in Spinal Cord Injury: Systematic Review [0.03%]
基于机器学习的脊髓损伤功能预后模型系统评价
Yuan Liu,Xiangxia Meng,Yi Ding et al.
Yuan Liu et al.
Background: Machine learning is increasingly used to develop prognostic prediction models for spinal cord injury. Nevertheless, current studies exhibit heterogeneity in outcome measures, predictors, modeling strategies, a...
Implementation and Evaluation of a Social Networking Service-Based Mobile Patient-Generated Health Data System With Direct Electronic Medical Record Integration: Prospective Observational Study [0.03%]
基于社交网络服务的移动患者生成健康数据系统并直接与电子病历集成的实现和评估：前瞻性观察研究
Eunjoung Choi,Sunki Lee,Jinsung Jeon et al.
Eunjoung Choi et al.
Background: Patient-generated health data (PGHD) can enhance patient-centered care by improving disease awareness and preparedness for clinical encounters. However, automated incorporation of PGHD into electronic medical ...
Observational Study
JMIR medical informatics. 2026 Jun 23:14:e81317. DOI:10.2196/81317 2026
Computational Insights Into Smart Bioelectronics in Digital Health Care (2020-2024): Topic Modeling Study [0.03%]
计算视角下的智能生物电子在数字健康护理中的应用（2020-2024）：主题模型研究
JiWon Bae,JiHoon Lee,Pildong Hwang et al.
JiWon Bae et al.
Background: Smart bioelectronics are electronic medical devices that combine hardware and artificial intelligence (AI)-based software. These convergent medical devices analyze bio-signals measured through hardware using A...
US Virgin Islands Launches Modernized NBS 7 Disease Surveillance System to Transform Public Health: Implementation Report [0.03%]
美国维尔京群岛启动现代化NBS 7疾病监测系统以变革公共健康：实施报告
Hannah M Cranford,Terri Pietka,Leah de Wilde et al.
Hannah M Cranford et al.
Background: During January 2024, the US Virgin Islands (USVI) Department of Health (VIDOH) identified a critical need to maintain the cloud-hosted National Electronic Disease Surveillance System Base System (NBS) instance...
Blockchain-Based Dynamic and Revocable Consent for Secondary Health Data Use: Systematic Review [0.03%]
基于区块链的动态和可撤销的健康数据二次使用授权机制系统评价研究
Sudip Phuyal,Manila Bhandari,Rabindra Bista et al.
Sudip Phuyal et al.
Background: The secondary use of health data holds substantial potential for advancing biomedical research, strengthening population health analytics, and enabling artificial intelligence-driven decision-making support. Y...
Leveraging Large Language Models to Integrate Clinical Knowledge and Machine Learning Predictions for Lymph Node Metastasis Prediction: Development of a Knowledge-Augmented Framework [0.03%]
基于大型语言模型的临床知识和机器学习预测集成用于淋巴结转移预测的知识增强框架的研发
Hongying Yu,Bing Liu,Xian Zeng et al.
Hongying Yu et al.
Background: Lymph node metastasis (LNM) is a critical clinical indicator for determining the initial treatment strategy for patients with lung cancer. However, accurately diagnosing LNM preoperatively remains a significan...
Pre-Amyloidosis Red-Flag Clinical Diagnoses in Light Chain (AL) Versus Age-Related Transthyretin (ATTRwt) Amyloidosis: Electronic Health Record-Based Descriptive Study [0.03%]
轻链型（AL）与年龄相关转甲状腺素蛋白（ATTRwt）淀粉样变性的前期淀粉样变性红旗临床诊断：基于电子健康记录的描述性研究
Noel Estrada-Merly,Liliana E Pezzin,Rodney Sparapani et al.
Noel Estrada-Merly et al.
This electronic health record-based study highlights distinct diagnostic patterns preceding a diagnosis of light chain (AL) and wild-type transthyretin (ATTRwt) amyloidosis; AL amyloidosis was more frequently preceded by renal, gastrointest...
Clinical Evaluation of a Real-Time Wearable System for Monitoring In-Hospital Ambulatory Patients With COVID-19: Retrospective Data Study [0.03%]
针对住院门诊新冠患者的实时监测可穿戴设备临床评价：回顾性数据分析研究
Sarah Vollam,Cristian Roman,Mauro Santos et al.
Sarah Vollam et al.
Background: Many studies have evaluated the use of wearable monitoring systems to improve patient safety in hospital. Although some have demonstrated effects on intensive care admissions, there remains little evidence of ...
Online Sepsis Prediction Using Vital Signs and Multiscale Temporal-Aware Contrastive Learning: Model Development and Validation Study [0.03%]
基于生命体征的在线脓毒症预测与多尺度时间对比学习：模型研发与验证研究
Xiaoqiong Yang,Zezhong Lv,Hanming Lv et al.
Xiaoqiong Yang et al.
Background: Real-time prediction of sepsis is a critical yet highly challenging task. Existing studies face 2 major limitations. First, they often rely on laboratory test results that are not readily available in real tim...