Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31011, first published .
Assessing the Risk Factors For Diagnosed Symptomatic Dry Eye Using a Smartphone App: Cross-sectional Study

Assessing the Risk Factors For Diagnosed Symptomatic Dry Eye Using a Smartphone App: Cross-sectional Study

Assessing the Risk Factors For Diagnosed Symptomatic Dry Eye Using a Smartphone App: Cross-sectional Study

Journals

  1. Sun J, He J, Liang Z. Comparison of ocular surface assessment outcomes between healthy controls and patients with obstructive sleep apnea–hypopnea syndrome: a meta-analysis of the literature. Frontiers in Physiology 2023;14 View
  2. Nagino K, Sung J, Midorikawa-Inomata A, Eguchi A, Fujimoto K, Okumura Y, Miura M, Yee A, Hurramhon S, Fujio K, Akasaki Y, Hirosawa K, Huang T, Ohno M, Morooka Y, Zou X, Kobayashi H, Inomata T. Clinical Utility of Smartphone Applications in Ophthalmology. Ophthalmology Science 2024;4(1):100342 View
  3. Nagino K, Okumura Y, Akasaki Y, Fujio K, Huang T, Sung J, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Hurramhon S, Yee A, Miura M, Ohno M, Hirosawa K, Morooka Y, Murakami A, Kobayashi H, Inomata T. Smartphone App–Based and Paper-Based Patient-Reported Outcomes Using a Disease-Specific Questionnaire for Dry Eye Disease: Randomized Crossover Equivalence Study. Journal of Medical Internet Research 2023;25:e42638 View
  4. Heidari Z, Hashemi H, Sotude D, Ebrahimi-Besheli K, Khabazkhoob M, Soleimani M, Djalilian A, Yousefi S. Applications of Artificial Intelligence in Diagnosis of Dry Eye Disease: A Systematic Review and Meta-Analysis. Cornea 2024;43(10):1310 View