Published on in Vol 24, No 12 (2022): December
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/38751, first published
.
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- Yoshihara H, Tsugawa Y, Fukuda M, Okiyama S, Nakayama T. Detection of hypertension from pharyngeal images using deep learning algorithm in primary care settings in Japan. BMJ Health & Care Informatics 2024;31(1):e100824 View