Multidisciplinary considerations of fairness in medical AI: A scoping review [0.03%]
医学人工智能中公平性的多学科考量：系统综述
Yue Wang,Yaxin Song,Zhuo Ma et al.
Yue Wang et al.
Introduction: Artificial Intelligence (AI) technology has been developed significantly in recent years. The fairness of medical AI is of great concern due to its direct relation to human life and health. This review aims ...
Machine learning techniques for periodontitis and dental caries detection: A narrative review [0.03%]
牙周炎和龋齿检测的机器学习技术：综述性研究
R C Radha,B S Raghavendra,B V Subhash et al.
R C Radha et al.
Objectives: In recent years, periodontitis, and dental caries have become common in humans and need to be diagnosed in the early stage to prevent severe complications and tooth loss. These dental issues are diagnosed by v...
Predicting 30-day risk from benzodiazepine/Z-drug dispensations in older adults using administrative data: A prognostic machine learning approach [0.03%]
基于行政数据的老年人类固醇/扎药发放与30天风险预测：预后机器学习方法
Vishal Sharma,Tanya Joon,Vinaykumar Kulkarni et al.
Vishal Sharma et al.
Objective: To develop a machine-learning (ML) model using administrative data to estimate risk of adverse outcomes within 30-days of a benzodiazepine (BZRA) dispensation in older adults for use by health departments/regul...
Machine learning approaches for frailty detection, prediction and classification in elderly people: A systematic review [0.03%]
用于检测、预测和分类老年人脆弱性的机器学习方法：系统评价研究
Matteo Leghissa,Álvaro Carrera,Carlos A Iglesias
Matteo Leghissa
Background: Frailty in older people is a syndrome related to aging that is becoming increasingly common and problematic as the average age of the world population increases. Detecting frailty in its early stages or, even ...
Understanding the convergence of social enterprise, digital health, and citizen engagement for co-producing integrated Person-Centred health services: A critical review and theoretical framework [0.03%]
理解社会企业、数字健康和公民参与的融合以协同生产以个人为中心的综合健康服务：批判性回顾与理论框架
Myron Anthony Godinho,Md Mahfuz Ashraf,Padmanesan Narasimhan et al.
Myron Anthony Godinho et al.
Introduction: To achieve Universal Health Coverage and the United Nations' (UN) Sustainable Development Goals (SDGs) agenda for 2030, the World Health Organisation (WHO) recommended the use of social enterprise, digital t...
Health sciences lifelong learning and professional development in the era of artificial intelligence [0.03%]
人工智能时代下的卫生学终身学习与职业发展
Nadia Hachoumi,Mohamed Eddabbah,Ahmed Rhassane El Adib
Nadia Hachoumi
Introduction: In the field of healthcare, lifelong learning is considered a quality indicator due to its potential to enhance healthcare services and the knowledge and skills of healthcare professionals. The purpose of th...
Prediction of effective sociodemographic variables in modeling health literacy: A machine learning approach [0.03%]
基于机器学习的健康素养建模有效社会人口统计变量预测
Feyza İnceoğlu,Serdar Deniz,Fatma Hilal Yagin
Feyza İnceoğlu
Introduction: Health literacy is becoming a more important concept for the effective use of health systems day by day. The main purpose of the study is to determine the importance levels of the variables by using Machine ...
Real-time artificial intelligence system for bacteremia prediction in adult febrile emergency department patients [0.03%]
用于急诊发热成人细菌血症预测的实时人工智能系统
Wei-Chun Tsai,Chung-Feng Liu,Yu-Shan Ma et al.
Wei-Chun Tsai et al.
Background: Artificial intelligence (AI) holds significant potential to be a valuable tool in healthcare. However, its application for predicting bacteremia among adult febrile patients in the emergency department (ED) re...
The "Electronic Pediatrician (EPed®)" - A clinically tested prototype software for computer-assisted pathophysiologic diagnosis and treatment of ill children [0.03%]
《电子儿科医生（EPED）》——一种临床试验型软件的原型设计：计算机辅助病理生理诊断及儿童疾病治疗系统
Andrei-Lucian Drăgoi,Roxana-Maria Nemeș
Andrei-Lucian Drăgoi
Background: Knowledge-based systems (KBS) are software applications based on a knowledge base and an inference engine. Various experimental KBS for computer-assisted medical diagnosis (CAMD) and treatment were started to ...
An overview of facilitators and barriers in the development of eHealth interventions for people of low socioeconomic position: A Delphi study [0.03%]
促进和阻碍低社会经济地位人群e健康干预发展的因素：德尔菲研究
Isra Al-Dhahir,Linda D Breeman,Jasper S Faber et al.
Isra Al-Dhahir et al.
Objective: eHealth interventions can improve the health outcomes of people with a low socioeconomic position (SEP) by promoting healthy lifestyle behaviours. However, developing and implementing these interventions among ...