Andy Aguilar
CEO and Cofounder
Legit Health
Legit.Health provides an AI-driven computer vision platform that enables dermatologists to automatically assess skin disease severity and monitor treatment responses through smartphone images. This technology enhances diagnostic accuracy and streamlines patient referrals, improving clinical efficiency and patient outcomes in dermatology.
- Artificial Intelligence
- Digital Health
- Healthcare Technology
- Software Only
Updated 23 months ago
Funding
Raised to date
$60KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Dermatologists often rely on subjective assessments and manual scoring systems to evaluate skin conditions, leading to variability and inefficiencies in diagnosis, treatment monitoring, and clinical trials. Traditional methods lack the precision and speed needed for consistent and objective evaluation of dermatological diseases.
Solution
Legit.Health offers an AI-powered platform that uses computer vision to analyze smartphone images of skin conditions, providing objective and automated assessments of disease severity. The platform employs neural networks to automatically fill in common scoring systems like PASI and SCORAD, reducing variability and saving time for healthcare professionals. By automating image quality checks and offering a user-friendly patient and doctor application, Legit.Health streamlines clinical workflows, enhances diagnostic accuracy, and facilitates remote monitoring of treatment responses. The technology integrates directly into existing clinical workflows through API integration, a standalone web app, or deep linking.
Target Audience
The primary target audience includes dermatologists, hospitals, and clinical research organizations seeking to improve the efficiency and accuracy of skin condition assessments in clinical practice and research.
Features
- AI-driven analysis of smartphone images for objective assessment of skin conditions
- Automatic scoring of common dermatological indices (PASI, SCORAD, EASI, IHS4)
- Image quality check to ensure clinical utility of uploaded images
- Patient and doctor application for easy image uploads and data access
- Smart referral system to ensure patients see the right specialist at the right time
- Treatment supervision feature to automatically measure patient response to treatment
- Diagnosis support providing immediate data to healthcare professionals
- FHIR integration for seamless data exchange with existing healthcare systems