Ethical Considerations in the Use of AI for Enhancing Diagnostic Accuracy in Medical Imaging Across Diverse Populations

Abstract

Artificial Intelligence (AI) has the potential to significantly improve diagnostic accuracy in medical imaging, offering benefits such as reduced error rates, faster diagnosis times, and the ability to identify disease at earlier stages. However, the deployment of AI in medical imaging across diverse populations raises critical ethical considerations. This paper explores these ethical challenges, focusing on ensuring equity in AI-driven diagnostics, preventing bias in AI models, maintaining patient privacy and data security, and ensuring transparency and accountability in AI applications. By addressing these considerations, we aim to propose ethical guidelines for the development and use of AI in medical imaging, ensuring that these technologies benefit all patients equitably and respect the diversity of patient populations.