CurieDx develops an AI-driven mobile app that analyzes smartphone images to provide instant screening predictions for common illnesses like strep throat, enhancing the accuracy of remote diagnostics by 40%. This technology enables patients to conduct preliminary assessments at home and facilitates timely telehealth consultations for appropriate medical care.
Funding
Funding not disclosed
SEFounders
Product
Problem
Remote diagnosis of common illnesses like strep throat often lacks accuracy due to the absence of objective testing, leading to potential misdiagnosis and inappropriate treatment. Traditional diagnostic methods require in-person visits, creating inconvenience and delays for patients.
Solution
CurieDx offers a mobile app that uses AI to analyze smartphone images, providing instant screening predictions for illnesses such as strep throat. The app enhances the accuracy of remote diagnostics by providing clinicians with an objective assessment based on image analysis. Patients can conduct preliminary assessments at home and share the results with their doctor to facilitate timely telehealth consultations and informed medical decisions. The technology is based on research developed at Johns Hopkins University.
Target Audience
The primary users are telehealth providers and urgent care practices seeking to improve the accuracy and efficiency of remote diagnoses, as well as families seeking convenient at-home screening for common illnesses.
Features
- AI-powered image analysis of throat images captured via smartphone camera
- Instant screening predictions for common illnesses like strep throat
- White-labeled solution for integration into telehealth platforms
- Secure image upload and data transmission
- Beta app available for iOS