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- Publisher Website: 10.1007/s10916-023-01987-4
- Scopus: eid_2-s2.0-85169502653
- PMID: 37651022
- WOS: WOS:001056553500001
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Article: Generative AI in Medical Imaging: Applications, Challenges, and Ethics
| Title | Generative AI in Medical Imaging: Applications, Challenges, and Ethics |
|---|---|
| Authors | |
| Keywords | Generative artificial intelligence Large language models Medical imaging Radiology Synthetic medical data |
| Issue Date | 1-Dec-2023 |
| Publisher | Springer |
| Citation | Journal of Medical Systems, 2023, v. 47, n. 1 How to Cite? |
| 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. |
| Persistent Identifier | http://hdl.handle.net/10722/348698 |
| ISSN | 2023 Impact Factor: 3.5 2023 SCImago Journal Rankings: 0.969 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Koohi-Moghadam, Mohamad | - |
| dc.contributor.author | Bae, Kyongtae Ty | - |
| dc.date.accessioned | 2024-10-13T00:30:12Z | - |
| dc.date.available | 2024-10-13T00:30:12Z | - |
| dc.date.issued | 2023-12-01 | - |
| dc.identifier.citation | Journal of Medical Systems, 2023, v. 47, n. 1 | - |
| dc.identifier.issn | 0148-5598 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/348698 | - |
| dc.description.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. | - |
| dc.language | eng | - |
| dc.publisher | Springer | - |
| dc.relation.ispartof | Journal of Medical Systems | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | Generative artificial intelligence | - |
| dc.subject | Large language models | - |
| dc.subject | Medical imaging | - |
| dc.subject | Radiology | - |
| dc.subject | Synthetic medical data | - |
| dc.title | Generative AI in Medical Imaging: Applications, Challenges, and Ethics | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1007/s10916-023-01987-4 | - |
| dc.identifier.pmid | 37651022 | - |
| dc.identifier.scopus | eid_2-s2.0-85169502653 | - |
| dc.identifier.volume | 47 | - |
| dc.identifier.issue | 1 | - |
| dc.identifier.eissn | 1573-689X | - |
| dc.identifier.isi | WOS:001056553500001 | - |
| dc.identifier.issnl | 0148-5598 | - |