This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (568) Formative Evaluation of Digital Health Interventions (2432) Web-based and Mobile Health Interventions (3313) Design and Formative Evaluation of Mobile Apps (699)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45218, first published .
Diagnostic Ability of a Smartphone App for Dry Eye Disease: Protocol for a Multicenter, Open-Label, Prospective, and Cross-sectional Study

Diagnostic Ability of a Smartphone App for Dry Eye Disease: Protocol for a Multicenter, Open-Label, Prospective, and Cross-sectional Study

Diagnostic Ability of a Smartphone App for Dry Eye Disease: Protocol for a Multicenter, Open-Label, Prospective, and Cross-sectional Study

Authors of this article:

Ken Nagino1, 2, 3 Author Orcid Image ;   Yuichi Okumura2, 3 Author Orcid Image ;   Masahiro Yamaguchi2 Author Orcid Image ;   Jaemyoung Sung2, 4 Author Orcid Image ;   Masashi Nagao5, 6, 7 Author Orcid Image ;   Kenta Fujio2, 3 Author Orcid Image ;   Yasutsugu Akasaki2, 3 Author Orcid Image ;   Tianxiang Huang2, 3 Author Orcid Image ;   Kunihiko Hirosawa2, 3 Author Orcid Image ;   Masao Iwagami8 Author Orcid Image ;   Akie Midorikawa-Inomata1 Author Orcid Image ;   Keiichi Fujimoto2, 3 Author Orcid Image ;   Atsuko Eguchi1 Author Orcid Image ;   Yukinobu Okajima9 Author Orcid Image ;   Koji Kakisu9 Author Orcid Image ;   Yuto Tei9 Author Orcid Image ;   Takefumi Yamaguchi10 Author Orcid Image ;   Daisuke Tomida10 Author Orcid Image ;   Masaki Fukui10 Author Orcid Image ;   Yukari Yagi-Yaguchi10 Author Orcid Image ;   Yuichi Hori9 Author Orcid Image ;   Jun Shimazaki10 Author Orcid Image ;   Shuko Nojiri6 Author Orcid Image ;   Yuki Morooka2, 3 Author Orcid Image ;   Alan Yee2, 3 Author Orcid Image ;   Maria Miura2, 3 Author Orcid Image ;   Mizu Ohno2, 3 Author Orcid Image ;   Takenori Inomata1, 2, 3, 11 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

Journals

  1. Fujio K, Nagino K, Huang T, Sung J, Akasaki Y, Okumura Y, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Miura M, Hurramhon S, Yee A, Hirosawa K, Ohno M, Morooka Y, Murakami A, Kobayashi H, Inomata T. Clinical utility of maximum blink interval measured by smartphone application DryEyeRhythm to support dry eye disease diagnosis. Scientific Reports 2023;13(1) View
  2. Handayani A, Valentina C, Suryaningrum I, Megasafitri P, Juliari I, Pramita I, Nakayama S, Shimizu E, Triningrat A. Interobserver Reliability of Tear Break-Up Time Examination Using “Smart Eye Camera” in Indonesian Remote Area. Clinical Ophthalmology 2023;Volume 17:2097 View
  3. Zhang S, Echegoyen J. Design and Usability Study of a Point of Care mHealth App for Early Dry Eye Screening and Detection. Journal of Clinical Medicine 2023;12(20):6479 View
  4. Wolffsohn J. 2022 Glenn A. Fry Award lecture: Enhancing clinical assessment for improved ophthalmic management. Optometry and Vision Science 2024;101(1):12 View
  5. INOMATA T, SUNG J, OKUMURA Y, NAGINO K, MIDORIKAWA-INOMATA A, EGUCHI A, HIROSAWA K, AKASAKI Y, HUANG T, MOROOKA Y, KOBAYASHI H, NAKAO S. A Medical Paradigm Shift in Society 5.0: Implementation of a Smartphone App-based Dry Eye Diagnosis Assistance Software as a Medical Device. Juntendo Medical Journal 2024;70(5):332 View
  6. Ganatra V, Gun S, Joshi P, Balasubramaniam A, Murali K, Kwatra N, Jain M. DEDector: Smartphone-Based Noninvasive Screening of Dry Eye Disease. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(4):1 View