Calvin W L Ho,Karel Caals
Calvin W L Ho
Artificial Intelligence Needs Data: Challenges Accessing Italian Databases to Train AI [0.03%]
人工智能需要数据：意大利数据库训练AI的访问挑战
Ciara Staunton,Roberta Biasiotto,Katharina Tschigg et al.
Ciara Staunton et al.
Population biobanks are an increasingly important infrastructure to support research and will be a much-needed resource in the delivery of personalised medicine. Artificial intelligence (AI) systems can process and cross-link very large amo...
Scoping Review Shows the Dynamics and Complexities Inherent to the Notion of "Responsibility" in Artificial Intelligence within the Healthcare Context [0.03%]
一项范围回顾研究表明，在医疗保健环境中“责任”这一概念所固有的动态性和复杂性
Sarah Bouhouita-Guermech,Hazar Haidar
Sarah Bouhouita-Guermech
The increasing integration of artificial intelligence (AI) in healthcare presents a host of ethical, legal, social, and political challenges involving various stakeholders. These challenges prompt various studies proposing frameworks and gu...
Gilberto K K Leung,Yuechan Song,Calvin W L Ho
Gilberto K K Leung
How the EU AI Act Seeks to Establish an Epistemic Environment of Trust [0.03%]
欧盟《人工智能法案》如何力求建立知识信任环境
Calvin Wai-Loon Ho,Karel Caals
Calvin Wai-Loon Ho
With focus on the development and use of artificial intelligence (AI) systems in the digital health context, we consider the following questions: How does the European Union (EU) seek to facilitate the development and uptake of trustworthy ...
Using Artificial Intelligence in Patient Care-Some Considerations for Doctors and Medical Regulators [0.03%]
人工智能在患者护理中的应用——对医生和医疗监管者的几点思考
Kanny Ooi
Kanny Ooi
This paper discusses the key role medical regulators have in setting standards for doctors who use artificial intelligence (AI) in patient care. Given their mandate to protect public health and safety, it is incumbent on regulators to guide...
Mapping the Apps: Ethical and Legal Issues with Crowdsourced Smartphone Data using mHealth Applications [0.03%]
手机应用程序的道德和法律问题研究报告
Nada Farag,Alycia Noë,Dimitri Patrinos et al.
Nada Farag et al.
More than 5 billion people in the world own a smartphone. More than half of these have been used to collect and process health-related data. As such, the existing volume of potentially exploitable health data is unprecedentedly large and gr...
Developing a Framework for Self-regulatory Governance in Healthcare AI Research: Insights from South Korea [0.03%]
构建医疗AI研究自律治理框架：来自韩国的见解
Junhewk Kim,So Yoon Kim,Eun-Ae Kim et al.
Junhewk Kim et al.
This paper elucidates and rationalizes the ethical governance system for healthcare AI research, as outlined in the 'Research Ethics Guidelines for AI Researchers in Healthcare' published by the South Korean government in August 2023. In de...
Regulating AI-Based Medical Devices in Saudi Arabia: New Legal Paradigms in an Evolving Global Legal Order [0.03%]
沙特阿拉伯基于人工智能的医疗设备监管：全球法律秩序演变中的新法律范式
Barry Solaiman
Barry Solaiman
This paper examines the Saudi Food and Drug Authority's (SFDA) Guidance on Artificial Intelligence (AI) and Machine Learning (ML) technologies based Medical Devices (the MDS-G010). The SFDA has pioneered binding requirements designed for ma...
The Fourth Industrial Revolution: Its Impact on Artificial Intelligence and Medicine in Developing Countries [0.03%]
第四次工业革命及其对发展中国家人工智能和医学的影响
Thalia Arawi,Joseph El Bachour,Tala El Khansa
Thalia Arawi
Artificial intelligence (AI) is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. Artificial intelligence can be both a blessing and a curse, and potentially a doubl...