From Engel's Bio-Psycho-Social model to the personalized health determinants model: a comprehensive framework and illustrative operationalization for precision health [0.03%]
从恩格尔的生物心理社会模型到精准健康决定因素的个性化模型：一种全面框架及操作化说明
Nazanin Abbaspour,Mory Ghomshei,Ario Saeid Vaghefi et al.
Nazanin Abbaspour et al.
Engel's Bio-Psycho-Social (BPS) model (1977) reframed healthcare by integrating biological, psychological, and social perspectives. Despite its influence, the model has been criticized for insufficient specificity in domains critical to pre...
Violet teaming as a resilient framework for bridging civilian-military electronic health record interoperability [0.03%]
紫色团队合作作为一种桥接平民-军事电子健康记录互操作性的弹性框架
Beth Ellinport,Alexander Titus,Benjamin D Trump
Beth Ellinport
The rapid digitization of healthcare through electronic health records (EHRs) and artificial intelligence (AI) is transforming clinical decision-making, data integration, and healthcare delivery. However, increasing dependence on interconne...
ChatGPT in healthcare: perceptions, ethical considerations, and practice implications among healthcare professionals in Ecuador and other countries in the Americas: a cross-sectional survey study [0.03%]
医疗保健中的ChatGPT：厄瓜多尔及其他美洲国家医疗专业人员的感知、伦理考量和实践影响：横断面调查研究
Ivan Cherrez-Ojeda,Juan Carlos Gallardo-Bastidas,Marco Faytong-Haro et al.
Ivan Cherrez-Ojeda et al.
Background: Generative artificial intelligence tools, such as ChatGPT, are increasingly discussed in healthcare; however, evidence from Latin American professional settings is limited and must be interpreted in light of r...
Dynamic consent framework for low-dose CT scan lung cancer screening: autonomy, privacy, ethical data management [0.03%]
低剂量CT肺癌筛查的动态知情同意框架：自主性、隐私和伦理数据管理
Jui-Chu Lin,Wesley Wei-Wen Hsiao,Jen-Wei Hu et al.
Jui-Chu Lin et al.
Objectives: To develop and implement a blockchain-based dynamic consent framework integrated with artificial intelligence (AI) to support Low-Dose Computed Tomography (LDCT) lung cancer screening and biobank data utilizat...
Advancing women's health through equity in quantitative sciences: promoting sex- and gender-based modeling in clinical trials and real-world studies [0.03%]
通过定量科学的公平性来推进女性健康：在临床试验和现实世界研究中促进基于性别和性别的建模
Grammati Sarri,Michelle Hoiseth
Grammati Sarri
Ensemble based in transfer learning for cytological classification in pleural fluid [0.03%]
基于迁移学习的胸腔积液细胞学分类集成方法研究
Frida López-Córdova,Hugo Vega-Huerta,Gisella Luisa Elena Maquen-Niño et al.
Frida López-Córdova et al.
Pleural effusion cytology is critical for diagnosing benign and malignant conditions, yet manual interpretation remains time-consuming and prone to subjectivity. The increasing burden of malignant pleural effusion in resource-constrained se...
Trauma-informed conversational agents for mental health: understanding user perspectives and experiences [0.03%]
面向精神卫生的知情创伤对话代理：理解用户视角和使用体验
Xintong Lu,Shion Guha,Rachel Pfafman et al.
Xintong Lu et al.
Introduction: Mental health conversational agents (MHCAs) offer scalable, accessible psychological support yet raise concerns about safety and appropriateness for trauma, exposed users. While trauma-informed care (TIC) pr...
The EU AI Act: implications and compliance guidance for healthcare facilities [0.03%]
欧盟AI法案：医疗保健机构的合规影响及指导方针
Fabio Dennstädt,Janna Hastings,Paul Windisch et al.
Fabio Dennstädt et al.
Background: The European Union AI Act [Regulation (EU) 2024/1689] establishes the first comprehensive legal framework for artificial intelligence. While AI offers transformative potential in healthcare, its deployment int...
The sound of engagement: assessing the feasibility and acceptability of an AI-generated personalized podcast as a between-session resource for therapy [0.03%]
参与的声音：评估人工智能生成的个性化播客作为治疗期间会话资源的可行性和接受度
Emily E Peake,Mackenzie S Swirbul,Michael J Rodio et al.
Emily E Peake et al.
Introduction: Consistent client engagement with between-therapy session activities (i.e., homework) is a strong predictor of positive psychotherapy outcomes. Because traditional homework activities aren't always tailored ...
Artificial intelligence in undergraduate medical education clinical skills curricula: a scoping review of implementations since 2022 [0.03%]
人工智能在本科医学生临床技能课程中的应用：2022年以来的实施情况综述
Birpartap S Thind,Daryoush Javidi,Lisa M Schwartz
Birpartap S Thind
Purpose: To systematically identify and synthesize peer-reviewed literature describing implemented AI innovations within undergraduate medical education clinical skills curricula from January 2022 through January 2026. ...