Sustaining Patient Portal Continuous Use Intention and Enhancing Deep Structure Usage: Cognitive Dissonance Effects of Health Professional Encouragement and Security Concerns [0.03%]
医务人员鼓励和安全关注对维持患者门户持续使用意向和增强深层结构使用的认知失调效应
Murad Moqbel,Barbara Hewitt,Fiona Fui-Hoon Nah et al.
Murad Moqbel et al.
Sustaining patient portal use is a major problem for many healthcare organizations and providers. If this problem can be successfully addressed, it could have a positive impact on various stakeholders. Through the lens of cognitive dissonan...
Questioning Racial and Gender Bias in AI-based Recommendations: Do Espoused National Cultural Values Matter? [0.03%]
人工智能推荐中的种族和性别偏见质疑：倡导的国家文化价值观是否重要？
Manjul Gupta,Carlos M Parra,Denis Dennehy
Manjul Gupta
One realm of AI, recommender systems have attracted significant research attention due to concerns about its devastating effects to society's most vulnerable and marginalised communities. Both media press and academic literature provide com...
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia [0.03%]
联邦差分隐私生成对抗网络框架在新型冠状病毒肺炎检测中的应用
Longling Zhang,Bochen Shen,Ahmed Barnawi et al.
Longling Zhang et al.
Existing deep learning technologies generally learn the features of chest X-ray data generated by Generative Adversarial Networks (GAN) to diagnose COVID-19 pneumonia. However, the above methods have a critical challenge: data privacy. GAN ...
Matteo Francia,Patrick Marcel,Verónika Peralta et al.
Matteo Francia et al.
The Intentional Analytics Model (IAM) has been recently envisioned as a new paradigm to couple OLAP and analytics. It relies on two basic ideas: (i) letting the user explore data by expressing her analysis intentions rather than the data sh...
Gabriel Ferrettini,Elodie Escriva,Julien Aligon et al.
Gabriel Ferrettini et al.
As Machine Learning (ML) is now widely applied in many domains, in both research and industry, an understanding of what is happening inside the black box is becoming a growing demand, especially by non-experts of these models. Several appro...
Responsible Artificial Intelligence as a Secret Ingredient for Digital Health: Bibliometric Analysis, Insights, and Research Directions [0.03%]
负责任的人工智能作为数字健康的一味秘方：文献计量分析、见解和研究方向
Samuel Fosso Wamba,Maciel M Queiroz
Samuel Fosso Wamba
With the unparallel advance of leading-edge technologies like artificial intelligence (AI), the healthcare systems are transforming and shifting for more digital health. In recent years, scientific productions have reached unprecedented lev...
Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries [0.03%]
负责任的人工智能能在大流行中发挥作用吗？两个国家的故事
Ramzi El-Haddadeh,Adam Fadlalla,Nitham M Hindi
Ramzi El-Haddadeh
This research examines the considerations of responsible Artificial Intelligence in the deployment of AI-based COVID-19 digital proximity tracking and tracing applications in two countries; the State of Qatar and the United Kingdom. Based o...
Responsible Artificial Intelligence (AI) for Value Formation and Market Performance in Healthcare: the Mediating Role of Patient's Cognitive Engagement [0.03%]
负责任的人工智能(AI)在医疗保健中的价值形成和市场表现作用：患者的认知参与的中介作用
Pradeep Kumar,Yogesh K Dwivedi,Ambuj Anand
Pradeep Kumar
The Healthcare sector has been at the forefront of the adoption of artificial intelligence (AI) technologies. Owing to the nature of the services and the vulnerability of a large section of end-users, the topic of responsible AI has become ...
Francesco Piccialli,Vincenzo Schiano di Cola,Fabio Giampaolo et al.
Francesco Piccialli et al.
The first few months of 2020 have profoundly changed the way we live our lives and carry out our daily activities. Although the widespread use of futuristic robotaxis and self-driving commercial vehicles has not yet become a reality, the CO...
A Novel Ensemble-based Classifier for Detecting the COVID-19 Disease for Infected Patients [0.03%]
一种新的基于集成的分类器用于检测感染患者的COVID-19疾病
Prabh Deep Singh,Rajbir Kaur,Kiran Deep Singh et al.
Prabh Deep Singh et al.
The recently discovered coronavirus, SARS-CoV-2, which was detected in Wuhan, China, has spread worldwide and is still being studied at the end of 2019. Detection of COVID-19 at an early stage is essential to provide adequate healthcare to ...