132823 20260217205458.0 doi 10.3390/diagnostics14040396 sideral 137696 ART-2024-137696 eng Fanlo-Zarazaga, Álvaro Universidad de Zaragoza (orcid)0000-0003-4418-7703 Validation of a new digital and automated color perception test 2024 Access copy available to the general public Unrestricted Although color vision deficiencies are very prevalent, there are no ideal methods for assessing color vision in all environments. We compared a new digital and automated method that quantifies color perception for the three protan, deutan, and tritan axes with two of the most commonly used color tests in daily practice: the Ishihara 38 plates test and the Farnsworth–Munsell 100-Hue test. One hundred patients underwent a triple examination composed of the new DIVE Color Test, the Ishihara test, and the Farnsworth–Munsell 100-Hue test. The DIVE Color Test was performed twice in forty participants to assess its repeatability. In the trichromatic group, the mean age stood at 20.57 ± 9.22 years compared with 25.99 ± 15.86 years in the dyschromatic group. The DIVE and Ishihara tests exhibited excellent agreement in identifying participants with color deficiency (Cohen’s kappa = 1.00), while it was 0.81 when comparing DIVE and Farnsworth. The correlation between the global perception values of Farnsworth (TES) and DIVE (GCS) was 0.80. The repeatability of the DIVE Color Test was high according to Bland–Altman analysis with an intraclass correlation coefficient of 0.83. According to Ishihara, the DIVE Color Test proved to be an effective and reproducible tool for red–green color vision deficiency detection, capable of determining the severity of the defect in each of the three axes faster and more accurately than both Ishihara and Farnsworth. info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 3.3 2024 MEDICINE, GENERAL & INTERNAL 57 / 332 = 0.172 2024 Q1 T1 0.773 2024 Internal Medicine 2024 Q2 Clinical Biochemistry 2024 Q2 5.9 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Echevarría, José Ignacio Pinilla, Juan Alejandre, Adrián Pérez-Roche, Teresa Gutiérrez, Diego Universidad de Zaragoza (orcid)0000-0002-7503-7022 Ortín, Marta Pueyo, Victoria Universidad de Zaragoza (orcid)0000-0002-1777-0349 1013 646 Universidad de Zaragoza Dpto. Cirugía Área Oftalmología 1011 615 Universidad de Zaragoza Dpto. Microb.Ped.Radio.Sal.Pú. Área Medic.Prevent.Salud Públ. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 14, 396 (2024), 1-14 Diagnostics 2075-4418 1458601 http://zaguan.unizar.es/record/132823/files/texto_completo.pdf Versión publicada 2701858 http://zaguan.unizar.es/record/132823/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:132823 articulos driver 2026-02-17-20:21:12 ARTICLE