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

Formative Evaluation of Digital Health Interventions (5022) New Methods (1765) mHealth for Screening (450) mHealth for Telemedicine and Homecare (852) Diabetes (336) Telemedicine for Diabetes (145) Diabetes Self-Management (722) Design and Usability of Consumer Health Tech and Home Monitoring Devices (443)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62772, first published .
Healthcare professional with urine test strips and sample cup

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 (4) 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
  2. Pan W, Cai Z, Xu L, Wang H, Wu J, Yang P, Zhao Z, Yang C. Discriminant Analysis of Urine Vitamin C by Visible Spectrum Based on Ultra‐Dimensionality Reduction and Information Enhancement Technology. Journal of Biophotonics 2026;19(6) View
  3. Shi Y, Peng H, Zhang Y, Zhang J, Li Y, Pu S, Tang X, Zhao J. Nurse-Led Digital Intervention for Sodium Restriction in Chronic Kidney Disease: Mixed Methods Implementation Study. JMIR Nursing 2026;9:e94330 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