iCardio: The Brazilian Population-Based Real-World Data Platform for Cardiovascular Disease [0.03%]
iCardio：巴西人口为基础的关于心血管疾病的现实世界数据平台
Miriam Allein Zago Marcolino,Ana Paula Beck da Silva Etges,Luciana Rodrigues de Lara et al.
Miriam Allein Zago Marcolino et al.
Technological advances that contribute to improving organizations and systems' capability to manage care services and pathways are impactful in improving efficiency and reducing waste in health care. This narrative paper presents the implem...
Real-World Smartphone Data Predicts Mood After Ischemic Stroke and Transient Ischemic Attack Symptoms and May Constitute Digital Endpoints: A Proof-of-Concept Study [0.03%]
基于真实世界智能手机数据预测缺血性卒中和短暂性脑缺血发作后的情绪及可能构成数字终点的概念验证研究
Stephanie Zawada,Jestrii Acosta,Caden Collins et al.
Stephanie Zawada et al.
Objective: To assess the feasibility of using smartphones to longitudinally collect objective behavior measures and establish the extent to which they can predict gold-standard depression severity in patients with ischemi...
Artificial Intelligence Image-Diagnosis for Female Genital Schistosomiasis [0.03%]
人工智能在女性生殖器血吸虫病影像诊断中的应用
Jiayuan Zhu,J Alison Noble,Mireille Gomes
Jiayuan Zhu
Objective: To introduce a novel, artificial Intelligence (AI), deep learning-based application for automated diagnosis of female genital schistosomiasis (FGS), a disease estimated to affect around 56 million women and gir...
Medication Adherence Technologies: A Classification Taxonomy Based on Features [0.03%]
基于特征的分类体系在医疗技术中的应用
Bincy Baby,Jasdeep Kaur Gill,Sadaf Faisal et al.
Bincy Baby et al.
Objective: To develop a comprehensive classification system for medication adherence technologies based on an inventory of characteristics and features of existing technology. ...
Artificial Intelligence and Multi-Omics in Pharmacogenomics: A New Era of Precision Medicine [0.03%]
人工智能和多组学在药物基因组学中的应用：精准医学的新时代
Mike Zack,Danil N Stupichev,Alex J Moore et al.
Mike Zack et al.
Pharmacogenomics is entering a transformative phase as high-throughput "omics" techniques become increasingly integrated with state-of-the-art artificial intelligence (AI) methods. Although early successes in single-gene pharmacogenetics re...
Digital Health Rights, Adult Systems: Are We Leaving Adolescents Behind? [0.03%]
数字健康权利与成人系统：我们是否在抛弃青少年？
Louisa Peralta,Cristyn Davies,Kellie Burns et al.
Louisa Peralta et al.
Deep Learning Applications in Clinical Cancer Detection: A Review of Implementation Challenges and Solutions [0.03%]
深度学习在临床癌症检测中的应用：实现挑战及解决方案综述
Isaiah Z Yao,Min Dong,William Y K Hwang
Isaiah Z Yao
Deep learning (DL) has revolutionized cancer detection accuracy, speed, and accessibility. Leveraging sophisticated algorithms, DL has demonstrated transformative potential across diverse applications, including imaging-based diagnostics an...
An Automated Mobile Cognitive Test for the Identification of Cognitive Impairment: A Cross-sectional Feasibility and Diagnostic Study [0.03%]
一种自动化的手机认知测试在认知障碍识别中的可行性与诊断研究：横断面研究
Louis Y Tee,Li Feng Tan,Santhosh Seetharaman et al.
Louis Y Tee et al.
Objective: To develop Digital Processing Speed Test (DPST), a free, automated, multilingual, artificial intelligence-based cognitive testing application, with the aim to enhance recognition of cognitive impairment in unde...
Comparing Machine Learning and Nurse Predictions for Hospital Admissions in a Multisite Emergency Care System [0.03%]
比较机器学习和护士预测在多场所急诊护理系统中的住院率
Jonathan Nover,Matthew Bai,Prem Tismina et al.
Jonathan Nover et al.
Objective: To prospectively compare nurse predictions with a machine learning (ML) model for hospital admissions and evaluate whether adding the nurse prediction to ML outputs enhances predictive performance. ...
Designing Artificial Intelligence-Powered Health Care Assistants to Reach Vulnerable Populations: A Discrete Choice Experiment Among South African University Students [0.03%]
设计人工智能医疗助手以接触脆弱人群：一项关于南非大学生的选择试验
Amy Zheng,Lawrence Long,Caroline Govathson et al.
Amy Zheng et al.
Objective: To understand what preferences are important to university students in South Africa when engaging with a hypothetical artificial intelligence-powered health care assistant (AIPHA) to access health information u...