Ethics

Integrating Catholic Social Teaching with AI Ethics to Address Inequity in AI Healthcare.

Artificial intelligence (AI) in healthcare can potentially improve patient outcomes, operational efficiency, and diagnostic accuracy. However, it also raises serious ethical issues, especially in light of possible disparities in the distribution and accessibility of AI-powered healthcare resources. This study investigates how AI might affect health disparities. It bases its proposal for an equitab...

Regulating AI in Mental Health: Ethics of Care Perspective.

This article contends that the responsible artificial intelligence (AI) approach-which is the dominant ethics approach ruling most regulatory and ethical guidance-falls short because it overlooks the impact of AI on human relationships. Focusing only on responsible AI principles reinforces a narrow concept of accountability and responsibility of companies developing AI. This article proposes that ...

Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist.

The widespread use of Chat Generative Pre-trained Transformer (known as ChatGPT) and other emerging technology that is powered by generative artificia...

A Bioethics Assessment of Continuous Learning in Medicine and AI.

Artificial intelligence and health-related data: The patient's best interest and data ownership dilemma.

The rapid advancement of artificial intelligence (AI) in healthcare has the potential to revolutionize the global healthcare sector and medicine in ge...

Comparison and benchmark of deep learning methods for non-coding RNA classification.

The involvement of non-coding RNAs in biological processes and diseases has made the exploration of their functions crucial. Most non-coding RNAs have...

Emotional Labor and the Problem of Exploitation in Roboticized Care Practices: Enriching the Framework of Care Centred Value Sensitive Design.

Care ethics has been advanced as a suitable framework for evaluating the ethical significance of assistive robotics. One of the most prominent care et...

A Physics-Informed Neural Network approach for compartmental epidemiological models.

Compartmental models provide simple and efficient tools to analyze the relevant transmission processes during an outbreak, to produce short-term forec...

Neuroethics and AI ethics: a proposal for collaboration.

The scientific relationship between neuroscience and artificial intelligence is generally acknowledged, and the role that their long history of collab...

Sex-Based Performance Disparities in Machine Learning Algorithms for Cardiac Disease Prediction: Exploratory Study.

BACKGROUND: The presence of bias in artificial intelligence has garnered increased attention, with inequities in algorithmic performance being exposed...

Publication Ethics in the Era of Artificial Intelligence.

The application of new technologies, such as artificial intelligence (AI), to science affects the way and methodology in which research is conducted. ...

Digital health in stroke: a narrative review.

Digital health is significantly transforming stroke care, particularly in remote and economically diverse regions, by harnessing mobile and wireless t...

Machine learning for environmental justice: Dissecting an algorithmic approach to predict drinking water quality in California.

The potential for machine learning to answer questions of environmental science, monitoring, and regulatory enforcement is evident, but there is cause...

Coping with the tale of natural resources and environmental inequality: an application of the machine learning tools.

With the rising momentum according to the environmentalist voices seeking climate justice for more equity and the importance of encouraging environmen...

Reforming China's Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era.

China's secondary vocational medical education is essential for training primary health care personnel and enhancing public health responses. This edu...

Efficient model-informed co-segmentation of tumors on PET/CT driven by clustering and classification information.

Automatic tumor segmentation via positron emission tomography (PET) and computed tomography (CT) images plays a critical role in the prevention, diagn...

Bioethics Principles in Machine Learning-Healthcare Application Design: Achieving Health Justice and Health Equity.

Health technologies featuring artificial intelligence (AI) are becoming more common. Some healthcare AIs are exhibiting bias towards underrepresented ...

Ethical Considerations and Fundamental Principles of Large Language Models in Medical Education: Viewpoint.

This viewpoint article first explores the ethical challenges associated with the future application of large language models (LLMs) in the context of ...

An architecture for COVID-19 analysis and detection using big data, AI, and data architectures.

The COVID-19 epidemic is affecting individuals in many ways and continues to spread all over the world. Vaccines and traditional medical techniques ar...

Improving treatment completion for young adults with substance use disorder: Machine learning-based prediction algorithms.

Substance use disorder (SUD) treatment completion was intertwined with various factors. However, few studies have explored the intersections of psycho...