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Authors’ Reply: Enhancing AI-Driven Medical Translations: Considerations for Language Concordance
JMIR Med Educ 2025;11:e71721
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Lester et al [24] trained a Res Net-18 deep learning model to predict the labeled features of a medication product using an image showing medication inside a filled prescription bottle. In a test set containing 65,274 images of 345 unique oral drug products, the overall macroaverage precision, that is, the mean of precision values for each class, was 98.5%.
JMIR Hum Factors 2025;12:e60273
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