Web: http://arxiv.org/abs/2209.09239

Sept. 21, 2022, 1:12 a.m. | Xiaodan Xing, Huanjun Wu, Lichao Wang, Iain Stenson, May Yong, Javier Del Ser, Simon Walsh, Guang Yang

cs.CV updates on arXiv.org arxiv.org

Data quality is the key factor for the development of trustworthy AI in
healthcare. A large volume of curated datasets with controlled confounding
factors can help improve the accuracy, robustness and privacy of downstream AI
algorithms. However, access to good quality datasets is limited by the
technical difficulty of data acquisition and large-scale sharing of healthcare
data is hindered by strict ethical restrictions. Data synthesis algorithms,
which generate data with a similar distribution as real clinical data, can
serve as …

arxiv data imaging medical survey trustworthy trustworthy ai

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