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. 2021 Jun;5(6):493-497.
doi: 10.1038/s41551-021-00751-8.

Synthetic data in machine learning for medicine and healthcare

Richard J Chen  1   2   3   4 , Ming Y Lu  1   3   4 , Tiffany Y Chen  1   3 , Drew F K Williamson  1   3 , Faisal Mahmood  5   6   7
Affiliations

Synthetic data in machine learning for medicine and healthcare

Richard J Chen et al. Nat Biomed Eng. 2021 Jun.

Abstract

The proliferation of synthetic data in artificial intelligence for medicine and healthcare raises concerns about the vulnerabilities of the software and the challenges of current policy.

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Conflict of interest statement

Competing interests

The authors declare no competing interests.

Figures

Fig. 1 |
Fig. 1 |. Synthetic medical data in action.
Top, synthetic and real images of skin lesions and of frontal chest X-rays. Middle, Synthetic and real histology images of three subtypes of renal cell carcinoma. Bottom, Areas under the receiver operating characteristic curve (AUC) for the classification performance of an independent dataset of the histology images by a deep-learning model trained with 10,000 real images of each subtype and by the same model trained with the real-image dataset augmented by 10,000 synthetic images of each subtype. Methodology and videos are available as Supplementary Information.
See this image and copyright information in PMC

References

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