Development of LuxIA, a Cloud-Based AI Diabetic Retinopathy Screening Tool Using a Single Color Fundus Image.

Journal Information

Full Title: Transl Vis Sci Technol

Abbreviation: Transl Vis Sci Technol

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Biomedical Engineering

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
2/6
33.3% Transparent
Transparency Indicators
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Core Indicators
Data Sharing
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Evidence found in paper:

"Disclosure: J.P.M. Blair, RetinAI Medical AG (E); J.N. Rodriguez, RetinAI Medical AG (E); R.M. Lasagni Vitar, RetinAI Medical AG (E); M.A. Stadelmann, RetinAI Medical AG (E); R. Abreu-González, None; J. Donate, None; C. Ciller, RetinAI Medical AG (E, I); S. Apostolopoulos, RetinAI Medical AG (E, I); C. Bermudez, None; S. De Zanet, RetinAI Medical AG (E, I)"

Funding Disclosure
Protocol Registration
Open Access
Paper is freely available to read
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Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025