Setting the New Standard: Legit.Health Showcases the Future of Clinical AI at AEDV Congress 2026
We are excited to announce that Legit.Health will be attending the 53rd National Congress of Dermatology and Venereology (AEDV 2026), taking place from May 20 to 23, 2026, at the Centro de Convenciones ExpoMeloneras in Maspalomas, Gran Canaria. Five members of our team will take the stage to present the latest advances in artificial intelligence applied to dermatology — from automated image quality assessment to AI-powered reduction of waiting lists.
Visit Us at Stand 4-5
You can find us at stand 4-5, right next to the AEDV Podcast Zone. Come say hello, request a live demo of our platform, and meet the team behind the technology.
Schedule of Presentations
Our team will present across multiple sessions throughout the congress. Here is the full schedule:
| Date | Time | Presentation | Speaker | Room / Session |
|---|---|---|---|---|
| Thursday, May 21 | 10:20 | Automated quantification of hair follicles using an AI-based object detection model | María Ribagorda Muñoz | Sala 2C – Oral Communication: Image Techniques & AI |
| Thursday, May 21 | 10:30 | Automatic segmentation and quantification of nail lesion surface area using deep learning neural networks | Taig Mac Carthy | Sala 2C – Oral Communication: Image Techniques & AI |
| Thursday, May 21 | 10:50 | Automatic assessment of visual quality in dermatological images | Jorge Juan Alaman | Sala 2C – Oral Communication: Image Techniques & AI |
| Thursday, May 21 | 11:00 | Disease burden and management of hidradenitis suppurativa from patients' and physicians' perspectives in Spain: results of the global HERALD survey | Antonio Martorell | Sala 1A – Oral Communication: Sweat Gland Diseases |
| Thursday, May 21 | 11:30 | Implementation of a dual care model supported by AI to reduce dermatology waiting lists | Elena Sánchez-Largo | Sala 5 – Oral Communication: Clinical Cases II |
| Thursday, May 21 | 15:20 | Hidradenitis suppurativa (invited speaker) | Antonio Martorell | Sala 1A – Meeting: Two Protagonists, One Destination |
| Friday, May 22 | 09:35 | Automatic assessment of visual quality in dermatological images (selected for competition) | Jorge Juan Alaman | Sala 1B – AEDV E-Dermatology & Imaging Working Group |
Note: We recommend checking the official congress agenda for any updates on room assignments or schedule changes.
Schedule a Meeting with Our Team
Are you interested in seeing a demo of our tool or learning how to implement AI in your clinic? Book a meeting with us during the congress to discover everything Legit.Health can do for you.
What is Legit.Health?
Legit.Health is a CE-certified AI medical device that supports healthcare professionals in the diagnosis, severity assessment, and monitoring of more than 320 skin conditions, all from a standard image. This technology provides clinicians with possible diagnoses, severity scores, and quantifiable information that support decision-making in seconds.

Healthcare professionals using Legit.Health during a dermatological consultation.
We have developed a suite of validated, AI-based scoring tools that replace subjective manual assessments with objective, reproducible measurements:
- ALEGI: Acne Lesion and Grade Index for acne severity.
- APASI: Automatic Psoriasis Area and Severity Index.
- ASCORAD: Automated SCORAD for atopic dermatitis evaluation.
- AIHS4: Automated IHS4 score for hidradenitis suppurativa.
- AUAS: Automated Urticaria Activity Score for urticaria monitoring.

APASI — automatic psoriasis area and severity index computed from patient photographs.
Reduce waiting lists and unnecessary referrals
Legit.Health integrates into existing clinical workflows, enabling primary care physicians to submit AI-assisted assessments to dermatologists, reducing unnecessary referrals and shortening waiting times. As Elena Sánchez-Largo will present at this congress, a dual care model supported by our AI achieved measurable reductions in dermatology waiting lists.
Clinical Research Endpoints
These tools are used as objective digital endpoints in clinical trials, providing standardized, reproducible measures that reduce assessor variability and accelerate study timelines. In compliance with data protection regulations in both Europe (GDPR) and the United States (HIPAA), our solution is CE Certified as a class IIa medical device.

Want to Know More?
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We look forward to seeing you at AEDV 2026 in Gran Canaria! For any questions or more information, reach out at hola@legit.health.




