Developing a non-invasive algorithm for the diagnosis of steatotic liver disease in primary healthcare: a retrospective cohort study [0.03%]
开发用于初级保健中诊断肝脂肪变性疾病的非侵入式算法：一项回顾性队列研究
Maria Spencer-Sandino,Franco Godoy,Danilo Alvares et al.
Maria Spencer-Sandino et al.
Objective: This study aims to develop an algorithm to detect steatotic liver disease (SLD) risk in low-resource settings without requiring imaging. Method...
Kathryn Mary Abel,Auden Edwardes,Heidi Tranter et al.
Kathryn Mary Abel et al.
Objectives: Little research focuses on mechanisms underlying the well-recognised relationship between mental and physical health, or its potential to influence adherence and response to treatments. This short report summa...
Predictive model for managing the clinical risk of emergency department patients: protocol for a systematic review [0.03%]
急诊科患者临床风险预测模型系统评价方案
Maria João Baptista Rente,Ana Lúcia da Silva João,David José Murteira Mendes et al.
Maria João Baptista Rente et al.
Introduction: Emergency departments are facing increasing strain due to overcrowding and resource shortages, leading to the suspension of some services. Stratifying the clinical risk-defined as the severity and likelihood...
Artificial intelligence-driven anthropometric assessment for young children: evaluating the accuracy and practicality of a digital image-based length and weight prediction tool [0.03%]
一种用于学龄前儿童的人工智能体质评测方法：基于数字化影像的身高体重预测工具的准确性和实用性的评估研究
Daniel Chan,Mei Chien Chua,Matthew Hadimaja et al.
Daniel Chan et al.
Background: Monitoring early childhood growth is vital, as growth faltering could indicate nutritional or health issues requiring prompt intervention. Our study's aim was to assess the performance of a length-weight artif...
Observational Study
BMJ health & care informatics. 2025 Dec 9;32(1):e101540. DOI:10.1136/bmjhci-2025-101540 2025
Impact of EHR direct-to-patient outreach on ambulatory advance directives completion among older adults [0.03%]
电子健康档案直接面向患者的宣传对老年患者门诊期前指令完成的影响
Nancy Kim,Andrew Pugliese,Abby Dancause et al.
Nancy Kim et al.
Background: Advance directives (AD) are crucial for aligning healthcare with end-of-life preferences, yet documentation rates remain low, often only 5-15%. Leveraging electronic health records (EHRs) for automated outreac...
What emotions reveal about patient safety: GPT-4-based sentiment and emotion analysis of 11056 German CIRS medical reports (2005-2024) [0.03%]
情感揭示的患者安全问题：基于GPT-4的情感和情绪分析德国CIRS医疗报告（2005-2024年，共11056份）
Carlos Ramon Hölzing,Patrick Meybohm,Peter Kranke et al.
Carlos Ramon Hölzing et al.
Objectives: Critical incident reporting systems (CIRS) collect narrative reports on medical errors, but emotional signals within these reports, potential indicators of perceived risk and systemic weakness, are rarely exam...
Artificial intelligence in clinical risk prediction: promise, performance and the path forward? [0.03%]
临床风险预测中的人工智能：前景、性能和未来方向？
Padmanesan Narasimhan,Usman Iqbal,Yu-Chuan Li
Padmanesan Narasimhan
Digital relapse prevention plan for substance use disorders: study protocol for a multicentre randomised controlled trial [0.03%]
物质使用障碍的数字化预防复发方案：多中心随机对照试验研究方案
Rafael Salom,Álvaro Pico Rada,Juan Jesús Muñoz García et al.
Rafael Salom et al.
IntroductionRelapse remains a major challenge in the treatment of substance use disorders (SUDs), particularly during follow-up. Digital tools are emerging as supportive resources, but few deliver real-time interventions. This study will ex...
Towards an AI-driven registry for postoperative complications: a proof-of-concept study evaluating the opportunities and challenges of AI models [0.03%]
面向人工智能驱动的术后并发症登记处：一项评估人工智能模型机遇与挑战的概念验证研究
Emilie Even Dencker,Andreas Skov Millarch,Alexander Bonde et al.
Emilie Even Dencker et al.
Objectives: Postoperative complications (PCs) require substantial resources to manage and are cumbersome to monitor. Artificial intelligence (AI), particularly natural language processing (NLP), offers a potential solutio...
Continuous wireless sensor monitoring with applied diagnostics: Clinical Sensor Pain Scale and Automated Sensor Pain Scale in the NICU [0.03%]
NICU中具有应用诊断的连续无线传感器监测：临床传感器疼痛量表和自动传感器疼痛量表
Susan Slattery,Sara Pessano,Jaeyoung Yoo et al.
Susan Slattery et al.
Objectives: Inappropriately treated pain can have deleterious outcomes in infants. Current tools rely on intermittent, subjective observation requiring specialised paediatric skills. This study aimed to diagnose infant pa...