The solution is capable of detecting nearly 300 dermatological conditions, including chronic, benign and malignant lesions.

The tool estimates severity in conditions associated with clinical scoring systems, reducing variability between clinicians and supporting healthcare professionals in their daily practice.

In just three months, the use of AI in over 1,000 dermatological tests has enabled risk stratification for malignancy and improved clinical decision-making. With 78% of cases identified as low suspicion and effective detection of common conditions, hospital referrals are optimized, and care delivery is accelerated.

Dermatological image quality is verified prior to assessment, both for photographs taken with mobile devices and dermatoscope images. Inadequate images are rejected, ensuring consistent and reliable results.

This deployment helps prioritise the most urgent cases in primary care, avoiding unnecessary referrals to specialists and speeding up care for patients requiring priority assessment.