Artificial intelligence-based Raynaud’s quantification index (ARTIX): an objective mobile-based tool for patient-centered assessment of Raynaud’s phenomenon

Artificial intelligence-based Raynaud’s quantification index (ARTIX): an objective mobile-based tool for patient-centered assessment of Raynaud’s phenomenon

Abstract Background We aimed to develop an artificial intelligence algorithm able to assess Raynaud’s phenomenon (RP) from mobile phone photography, ensuring as a patient-centered, image-based method for RP quantification. Methods ARTIX (artificial intelligence-based Raynaud’s quantification index)...

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Bibliographic Details
Main Authors: Marco Di Battista, Seda Colak, Anna Howard, Francesca Donadoni, Chris Owen-Smith, Andrea Rindone, Stefano Di Donato, Collette Hartley, Lesley-Anne Bissell, Francesco Del Galdo
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Arthritis Research & Therapy
Subjects:
Raynaud’s phenomenon
Systemic sclerosis
Artificial intelligence
Thermography
Cold challenge
Online Access:https://doi.org/10.1186/s13075-025-03569-w
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https://doi.org/10.1186/s13075-025-03569-w

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