Artificial Intelligence

Minimizes errors in the care classification and detects suspicious fraudulent care, ensuring more efficient and transparent management.

Optimizes the time of medical controllers in the classification, review, approval, or rejection of disability subsidies, thus streamlining administrative procedures.

Supports the acceleration and prevention of medical diagnoses, especially in mental, emotional, and neurological health areas, improving precision and speed in diagnosis.

It helps in the timely detection and reduction of the risk of blindness through an eye exam or diabetic retinopathy screening, improving the quality of life for diabetic patients.