AI pitfalls and what not to do: mitigating bias in AI is a research paper published in British Journal of Radiology (2023). On theSindex it has a DataRank of 0. It has been cited 258 times.
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NHLBI NIH HHS
Grant: 75N92020C00008
NHLBI NIH HHS
Grant: 75N92020C00021
NIBIB NIH HHS
Grant: R01 EB017205
National Science Foundation
Grant: 1928481
FW-HTF-RM: Measuring learning gains in man-machine assemblage when augmenting radiology work with artificial intelligence
National Institutes of Health
Grant: 3R01EB017205-06S1
Critical Care Informatics: Ethical considerations around the use and sharing of health-related data
FWCI
7.53
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on 18F-PSMA-1007 PET
Additional file 1 of The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on 18F-PSMA-1007 PET