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Development and validation of a deep learning model for detection of allergic reactions using safety event reports across hospitals.

Yang J, Wang L, Phadke NA, et al. Development and validation of a deep learning model for detection of allergic reactions using safety event reports across hospitals. JAMA Netw Open. 2020;3(11):e2022836. doi:10.1001/jamanetworkopen.2020.22836.

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December 9, 2020
Yang J, Wang L, Phadke NA, et al. JAMA Netw Open. 2020;3(11):e2022836.
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Artificial intelligence can support improved patient safety outcomes. This study found that a deep learning model can accurately and efficiently identify allergic reactions in hospital safety reports and can potentially enable real-time event surveillance and system improvement.  

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Yang J, Wang L, Phadke NA, et al. Development and validation of a deep learning model for detection of allergic reactions using safety event reports across hospitals. JAMA Netw Open. 2020;3(11):e2022836. doi:10.1001/jamanetworkopen.2020.22836.