2. Materials & methods 3. The impact of AI in healthcare 4. The regulatory framework 5. Open challenges 6. Conclusions CRediT authorship contribution statement Declaration of Competing Interest Acknowledgement
Purpose: Artificial intelligence (AI) has the potential to transform healthcare by streamlining workflows, reducing costs, improving documentation and personalising medicine. However, numerous ethical challenges must be addressed before AI can be fully integrated into everyday practice. Key issues include ...
Ethical challenges in AI-driven diagnosis and healthcare The use of artificial intelligence (AI) to aid medical diagnosis or rationalise healthcare raises similar ethical challenges as applications of AI in other industries, bias and discrimination among them. A prescription of selective forgetfulness fo...
There is widespread awareness of the importance of AI ethics and governance for adults, but less emphasis has been placed on AI ethics and governance for children. This review article aims to describe ethical principles and challenges in the use of AI in healthcare for children. Important ethical...
challenges such as a shortage of qualified healthcare professionals and non-uniform accessibility to healthcare across the country. According to a report by the World Economic Forum, AI expenditure in India is projected to reach $11.78 billion by 2025, contributing significantly to th...
AI in Healthcare: Ethical and Privacy Challenges Chapter © 2019 The ethics of artificial intelligence systems in healthcare and medicine: from a local to a global perspective, and back Article Open access 06 July 2024 References Abouelmehdi, K., Beni-Hssane, A., Khaloufi, H., & Saa...
4† Abstract Background Considering the disruptive potential of AI technology, its current and future impact in healthcare, as well as healthcare professionals' lack of training in how to use it, the paper summarizes how to approach the challenges of AI from an ethical and legal ...
This Perspective first maps the current global landscape of existing ethics guidelines for AI and analyses their correlation with children. We then critically assess the strategies and recommendations proposed by current AI ethics initiatives, identifying the critical challenges in translating such ethical ...
and interpretation and broader themes within moral epistemology. Part of his research is dedicated to the study of the moral understanding of concepts like ‘need’, ‘desire’, ‘hope’, and ‘guilt’, as well as ‘disruptive innovation’ in healthcare and moral challenges about AI-led ...
This will be followed by an analysis of the ethical challenges of AI in healthcare. We will discuss four primary challenges: (1) informed consent to use, (2) safety and transparency, (3) algorithmic fairness and biases, and (4) data privacy. We then shift to five legal challenges in ...