Effects of a home care community-dwelling intervention on cognition, mental health, loneliness and quality of life in elder people: The VERA study [0.03%]
家庭护理社区居住干预对老年人认知、精神健康、孤独感和生活质量的影响：VERA研究
Guillermo Palacios-Navarro,Rebeca Santamaría,David Del Río et al.
Guillermo Palacios-Navarro et al.
Background: New technologies can provide practical solutions that respond to the needs of the elderly, improving their quality of life and well-being. The aim of this research was to validate a multimodal approach based o...
NAIF: A novel artificial intelligence-based tool for accurate diagnosis of stage F3/F4 liver fibrosis in the general adult population, validated with three external datasets [0.03%]
NAIF：一种基于人工智能的新型工具，用于普通成人人群中F3/F4期肝纤维化的准确诊断，并通过三个外部数据集进行了验证
Samir Hassoun,Chiara Bruckmann,Stefano Ciardullo et al.
Samir Hassoun et al.
Objective: The purpose of this study was to determine the effectiveness of a new AI-based tool called NAIF (NAFLD-AI-Fibrosis) in identifying individuals from the general population with advanced liver fibrosis (stage F3/...
hART: Deep learning-informed lifespan heart failure risk trajectories [0.03%]
hART：深度学习知情的全生命周期心脏衰竭风险轨迹分析
Harry Moroz,Yue Li,Ariane Marelli
Harry Moroz
Background: Heart failure (HF) results in persistent risk and long-term comorbidities. This is particularly true for patients with lifelong HF sequelae of cardiovascular disease such as patients with congenital heart dise...
Development and validation of an artificial intelligence mobile application for predicting 30-day mortality in critically ill patients with orthopaedic trauma [0.03%]
用于预测严重骨创伤患者30天死亡率的人工智能手机应用程序的开发和验证
Tao Han,Fan Xiong,Baisheng Sun et al.
Tao Han et al.
Background: Given the intricate and grave nature of trauma-related injuries in ICU settings, it is imperative to develop and deploy reliable predictive tools that can aid in the early identification of high-risk patients ...
Randomized Controlled Trial
International journal of medical informatics. 2024 Apr:184:105383. DOI:10.1016/j.ijmedinf.2024.105383 2024
Assessment of the relationship between executive Nurses' leadership Self-Efficacy and medical artificial intelligence readiness [0.03%]
护理管理者领导自我效验与医疗人工智能准备度的关系评估研究
Ayşe Eminoğlu,Şirin Çelikkanat
Ayşe Eminoğlu
Aims: This study aims to assess the relationship between management nurses' leadership self-efficacy and medical artificial intelligence readiness. Method...
Trust, trustworthiness and acceptability of a machine learning adoption in data-driven clinical decision support system. Some comments [0.03%]
信任，可信性和基于数据的临床决策支持系统中机器学习采纳的可接受性。一些评论
Salvatore Chirumbolo,Massimiliano Berretta,Umberto Tirelli
Salvatore Chirumbolo
A multinational study on artificial intelligence adoption: Clinical implementers' perspectives [0.03%]
一项关于人工智能采用的多国研究：临床实施者的视角
Luis Marco-Ruiz,Miguel Ángel Tejedor Hernández,Phuong Dinh Ngo et al.
Luis Marco-Ruiz et al.
Background: Despite substantial progress in AI research for healthcare, translating research achievements to AI systems in clinical settings is challenging and, in many cases, unsatisfactory. As a result, many AI investme...
Comparison of evaluation methods for improving the usability of a Spanish mHealth tool [0.03%]
改进西班牙语mHealth工具可用性的评估方法的比较研究
Alexandria L Hahn,Claudia L Michaels,Gabriella Khawly et al.
Alexandria L Hahn et al.
Objective: Mobile health (mHealth) technology is now widely used across health conditions and populations. The rigorous development of these tools has yielded improved health outcomes, yet the ideal approach for developin...
A text analytics approach for mining public discussions in online cancer forum: Analysis of multi-intent lung cancer treatment dataset [0.03%]
在线癌症论坛公共讨论的文本分析方法：多意图肺癌治疗数据集分析
Adnan Muhammad Shah,Kang Yoon Lee,Abdullah Hidayat et al.
Adnan Muhammad Shah et al.
Background: Online cancer forums (OCF) are increasingly popular platforms for patients and caregivers to discuss, seek information on, and share opinions about diseases and treatments. This interaction generates a substan...