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

Formative Evaluation of Digital Health Interventions (3272) Diabetes (265) Diabetes Self-Management (595) Telemedicine for Diabetes (116) Design and Usability of Consumer Health Tech and Home Monitoring Devices (331) mHealth for Screening (298) mHealth for Telemedicine and Homecare (535) New Methods (1140)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62772, first published .
Verification of the Reliability of an Automated Urine Test Strip Colorimetric Program Using Colorimetric Analysis: Survey Study

Verification of the Reliability of an Automated Urine Test Strip Colorimetric Program Using Colorimetric Analysis: Survey Study

Verification of the Reliability of an Automated Urine Test Strip Colorimetric Program Using Colorimetric Analysis: Survey Study

Authors of this article:

Keigo Inagaki1 Author Orcid Image ;   Daisuke Tsuriya2 Author Orcid Image ;   Takuya Hashimoto2 Author Orcid Image ;   Katsumasa Nakamura2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Yang C, Cai Z, Wu J, Yang P, Zhao Z. Feasibility Study of Visible Spectrum as a Tool for Discriminating Urinary Microalbumin. Journal of Biophotonics 2025;18(11) View

Conference Proceedings

  1. Luo Y, Lutsenko V, Soboliak O, Popova K, Popov I, Kryvenko O. 2025 IEEE 6th KhPI Week on Advanced Technology (KhPIWeek). Smartphone-Based RGB Spectroscopy for Detecting Ketones and Proteins in the Urine of Diabetic Patients View