Healthteach
USA
A leading HealthTech startup in the United States partnered with Imenso Software to make preventive dental care more accessible. The vision was a mobile-first app that lets people scan their teeth using a smartphone camera and receive near real-time oral-health insights—especially useful where dental visits are costly or hard to access.
Unlike clinical photographs taken under controlled lighting or intra-oral instruments, the app had to work reliably using smartphone front or rear cameras, variable lighting, differing mouth positions and angles, and on older iOS devices.
Identifying teeth, gums, and relevant dental zones (e.g., lower molars, front incisors) purely from a self-taken image, and doing so robustly across tooth-shape variations, crowding or spacing, required strong computer-vision models.
The system needed to emulate the insight of a dentist’s visual exam (detecting signs like enamel erosion, plaque film, gum inflammation, misalignment) while operating purely from a smartphone image.
The output of the AI had to be delivered in non-technical language so everyday users could understand their oral health status, get actionable advice and feel comfortable with the result. The challenge was translating clinical metrics into consumer-friendly guidance.
The app had to perform smoothly (especially on older phones), with limited compute, minimal lag, and low battery/thermal impact. At the same time, it needed to minimise false positives (unnecessary alerts) that might reduce user trust.
Unlike clinical photographs taken under controlled lighting or intra-oral instruments, the app had to work reliably using smartphone front or rear cameras, variable lighting, differing mouth positions and angles, and on older iOS devices.
Identifying teeth, gums, and relevant dental zones (e.g., lower molars, front incisors) purely from a self-taken image, and doing so robustly across tooth-shape variations, crowding or spacing, required strong computer-vision models.
The system needed to emulate the insight of a dentist’s visual exam (detecting signs like enamel erosion, plaque film, gum inflammation, misalignment) while operating purely from a smartphone image.
The output of the AI had to be delivered in non-technical language so everyday users could understand their oral health status, get actionable advice and feel comfortable with the result. The challenge was translating clinical metrics into consumer-friendly guidance.
The app had to perform smoothly (especially on older phones), with limited compute, minimal lag, and low battery/thermal impact. At the same time, it needed to minimise false positives (unnecessary alerts) that might reduce user trust.
The native iOS application walks users through a structured selfie-capture process, ensuring proper framing, lighting, and image clarity. On-device pre-processing such as cropping, stabilization, and contrast correction improves image quality before analysis.
Using Python, OpenCV, and CNN-based models, the system detects plaque, cavity risks, gum inflammation, tooth alignment issues, and enamel discoloration. The AI generates a comprehensive oral-health score while maintaining fast and reliable performance across devices.
Firebase services were used to manage authentication, image uploads, cloud storage, and AI-processing workflows securely. The architecture supports high-volume user activity while maintaining strong performance and data protection standards.
Users receive easy-to-understand oral-health reports containing detected issues, oral-health scores, and actionable next steps. The platform also provides personalized brushing tips, flossing recommendations, and preventive care guidance.
Extensive testing across multiple iPhone models and varying lighting conditions ensured stable app performance and minimized false positives. Continuous optimization improved inference speed, usability, and overall user experience.
Clinical validation compared AI-generated results with dentist assessments, achieving strong accuracy for key indicators. The modular system supports ongoing retraining, analytics-based monitoring, and future expansion to additional platforms like Android.
The native iOS application walks users through a structured selfie-capture process, ensuring proper framing, lighting, and image clarity. On-device pre-processing such as cropping, stabilization, and contrast correction improves image quality before analysis.
Using Python, OpenCV, and CNN-based models, the system detects plaque, cavity risks, gum inflammation, tooth alignment issues, and enamel discoloration. The AI generates a comprehensive oral-health score while maintaining fast and reliable performance across devices.
Firebase services were used to manage authentication, image uploads, cloud storage, and AI-processing workflows securely. The architecture supports high-volume user activity while maintaining strong performance and data protection standards.
Users receive easy-to-understand oral-health reports containing detected issues, oral-health scores, and actionable next steps. The platform also provides personalized brushing tips, flossing recommendations, and preventive care guidance.
Extensive testing across multiple iPhone models and varying lighting conditions ensured stable app performance and minimized false positives. Continuous optimization improved inference speed, usability, and overall user experience.
Clinical validation compared AI-generated results with dentist assessments, achieving strong accuracy for key indicators. The modular system supports ongoing retraining, analytics-based monitoring, and future expansion to additional platforms like Android.
68% of users discovered risks they didn’t know about—driving awareness and early action.
Average 6.2-minute sessions due to personalized guidance and clear results.
92% AI accuracy when compared to dentists’ visual evaluations of key oral indicators
Imenso Software transformed a strong idea into a practical preventive-care tool. By combining AI accuracy with iOS experience and lightweight cloud services, the app helps everyday users understand their oral health quickly and act earlier—without replacing formal dental care when it’s needed.
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