Intellectual Property India Publishes Patent Application for System And Method For Determining Skin Conditions

MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202418038934 A) filed by Triage Technologies Inc. on May 17, 2024, for System And Method For Determining Skin Conditions.

Inventors include Abid, Abdellatif; Sanfiz, Albert Jimenez; Romero Lopez, Adria; Jarmain, Eric T.; Akrout, Mohamed; Challa, Anirudh; Kawahara, Jeremy G. Filed On; and Solis-Reyes, Stephen A..

The application for the patent was published on June 26, 2026, under issue no. 26/2026.

Abstract: A system configured for determining skin conditions from images uploaded to a skin condition classification application that are processed within the skin condition classification application or uploaded to a server, the system comprising one or more hardware processors configured by machine-readable instructions to generate one or more datasets of skin condition, store the one or more datasets of skin condition images, train a visual classifier model, receive, via a user interface of the skin condition classification application, one or more uploaded images, pass the uploaded images of through a visual classifier model, generate an output of the visual classifier model, determine a set of predictions for the skin condition classes, display the set predictions, display information about the set of predictions and display exemplar skin disease images. A method for determining skin conditions from images uploaded to a skin condition classification application that are processed within the skin condition classification application or uploaded to a server, the method comprising generating one or more datasets of skin condition images by, probabilistic labeling each skin condition, storing the one or more datasets of skin condition images, training a visual classifier model with the one or more datasets, receiving, via a user interface of the skin condition classification application, passing the uploaded images through a visual classifier model, generating an output of the visual classifier model, determining a set of predictions for the skin condition classes, displaying the set of predictions, displaying information about the set of predictions and displaying exemplar skin disease images of the set of predictions or skin disease.

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