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

被引：13
|
作者：
Koohi-Moghadam, Mohamad [1 ]
Bae, Kyongtae Ty [1 ]
机构：
[1] Univ Hong Kong, Li Ka Shing Fac Med, Dept Diagnost Radiol, Hong Kong, Peoples R China
来源：
JOURNAL OF MEDICAL SYSTEMS | 2023年 / 47卷 / 01期
关键词：
Generative artificial intelligence; Large language models; Medical imaging; Radiology; Synthetic medical data;
D O I：
10.1007/s10916-023-01987-4
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
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.
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页数：4
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