Generative AI in Medical Imaging: Applications, Challenges, and Ethics

Abstract

Medical imaging is playing an important role in diagnosis and treatment of diseases. Generative artificial intelligence (AI) have shown great potential in enhancing medical imaging tasks such as data augmentation, image synthesis, image-to-image translation, and radiology report generation. This commentary aims to provide an overview of generative AI in medical imaging, discussing applications, challenges, and ethical considerations, while highlighting future research directions in this rapidly evolving field.

Keywords: Generative artificial intelligence; Large language models; Medical imaging; Radiology; Synthetic medical data.