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 .
Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study

Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study

Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study

Journals

  1. Shibata Y. Medical and engineering collaboration for big data analysis and numerical modeling. Journal of Advanced Simulation in Science and Engineering 2023;10(1):206 View
  2. Noda M, Ueno T, Koshu R, Shimada M, Ito M, Yamoto S, Yoshizaki T, Nomura A. A Study of the Performance of the Generative Pretrained Transformer in the Japanese Otorhinolaryngology Specialty Examination. Nippon Jibiinkoka Tokeibugeka Gakkai Kaiho(Tokyo) 2023;126(11):1217 View
  3. Okada M, Katsuki M, Shimazu T, Takeshima T, Mitsufuji T, Ito Y, Ohbayashi K, Imai N, Miyahara J, Matsumori Y, Nakazato Y, Fujita K, Hoshino E, Yamamoto T. Preliminary External Validation Results of the Artificial Intelligence-Based Headache Diagnostic Model: A Multicenter Prospective Observational Study. Life 2024;14(6):744 View
  4. Yoshihara H, Fukuda M, Hanawa T, Tsugawa Y. Identifying sex from pharyngeal images using deep learning algorithm. Scientific Reports 2024;14(1) View
  5. Cap Q, Fukuda A, Iyatomi H. A practical framework for unsupervised structure preservation medical image enhancement. Biomedical Signal Processing and Control 2025;100:106918 View
  6. Takahashi H, Morikawa M, Satake Y, Nagamatsu H, Hirose R, Yamada Y, Toba N, Toyama-Kousaka M, Ota S, Shinoda M, Mineshita M, Shinkai M. Diagnostic utility of pharyngeal follicular structures in COVID-19: A large-scale cross-sectional study. International Journal of Infectious Diseases 2024;149:107244 View
  7. 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