Our models are trained on over 100,000 biomedical images—including fundus images, MRI, OCT, OCT-A, PET, cardiovascular scans, and B-scan ultrasonography—from a diverse population encompassing all ages, races, genders, and health conditions. This diversity enables our models to achieve, on average, 93% prediction accuracy, ensuring reliable and precise outcomes.

A diverse and abundant database is key to maintaining the exceptional accuracy and reliability of our AI models.