Attaching Importance to the Standardized Construction of Artificial Intelligence Database of Medical Imaging
Medical imaging is regarded as one of the most potential domains where artificial intelligence can be applied in practice. However, artificial intelligence is facing challenges resulting from continuous growth of data, such as lack of high-quality data, lack of standardization in domain, lack of eff...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | ZH |
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Editorial Office of Medical Journal of Peking Union Medical College Hospital
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/fc437d0ebe5a4a17ae9d0d642c0a052e |
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| Sumario: | Medical imaging is regarded as one of the most potential domains where artificial intelligence can be applied in practice. However, artificial intelligence is facing challenges resulting from continuous growth of data, such as lack of high-quality data, lack of standardization in domain, lack of effective data management and regulation. Therefore, it is necessary to construct a standardized medical imaging database complying with the national condition of China, laws/regulations, and using habits of researchers. FAIR data principle (findable, accessible, interoperable, and reusable) may play a key role in database construction, data acquisition, and regulating descriptions of medical imaging data. Looking forward to boosting the standardized construction of artificial intelligence databases of medical imaging under the combined efforts of national researchers. |
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