Generative AI in Medical Imaging: Applications, Challenges, and Ethics-Reference-Cited by-同舟云学术

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

Published:2023-08-31 Issue:1 Volume:47 Page:
ISSN:1573-689X
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Koohi-Moghadam Mohamad,Bae Kyongtae Ty

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s10916-023-01987-4.pdf

Reference20 articles.

1. Shad, R., Cunningham, J. P., Ashley, E. A., Langlotz, C. P. & Hiesinger, W. Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging. Nature Machine Intelligence 3, 929–935 (2021).

2. AlAmir, M. & AlGhamdi, M. The Role of generative adversarial network in medical image analysis: An in-depth survey. ACM Computing Surveys 55, 1–36 (2022).

3. Birhane, A., Kasirzadeh, A., Leslie, D. & Wachter, S. Science in the age of large language models. Nature Reviews Physics, 1–4 (2023).

4. Kottlors, J. et al Feasibility of Differential Diagnosis Based on Imaging Patterns Using a Large Language Model. Radiology 308, e231167 (2023).

5. Yu, B. et al Ea-GANs: edge-aware generative adversarial networks for cross-modality MR image synthesis. IEEE transactions on medical imaging 38, 1750–1762 (2019).

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