Objective, reproducible dermatological endpoint scoring from smartphone images. Automated severity scoring aligned with established clinical scales for clinical trials. CE-marked Class IIa medical device.
Peer-reviewed publications and production validation behind automated PASI scoring for psoriasis, covering the peer-reviewed validation study, the DIQA image quality gate, and per-component performance against expert inter-rater variability.
Legit.Health AI scoring is deployed in Phase 2 and Phase 3 clinical trials with top-10 pharma companies across 130+ sites in 12+ countries, spanning psoriasis, acne, alopecia, and atopic dermatitis.
End-to-end clinical trial workflow for PASI endpoints, covering protocol design, site setup, patient enrolment, image capture, AI scoring, PASI response milestones, data export, and EDC integration.
How psoriasis images are captured for automated PASI scoring: the standard body-perspective and close-up set, DIQA quality control, patient preparation, and site standardisation.
Transparent documentation of what the AI psoriasis severity scoring can and cannot do, including the inherent constraints of photograph-based PASI assessment and how each limitation is managed.
Automated PASI scoring for psoriasis clinical trials. AI-powered measurement of erythema, desquamation, induration, and affected body surface area across four body regions.
Technical detail on the automated PASI pipeline, covering affected-area segmentation, intensity scoring of erythema, desquamation and induration, the PASI formula, the severity scale, and comparison with manual scoring.
The psoriasis assessment sequence step by step, from the eleven capture screens the subject sees, through the images they submit, to the segmentation overlays the device returns, the scored PASI report format, and the automatic response-milestone alert.