AI-Powered Care Coordination
At the heart of MaNaDr's FaceScan technology lies the science of optical imaging. By utilizing the interaction of light with the human face, FaceScan captures valuable visual information that can provide insights into an individual's health.
Early Detection and Prevention
By analysing facial features and expressions, MaNaDr AI FaceScan can identify potential health issues at an early stage. This early detection allows for timely intervention and preventive measures, improving overall health outcomes.
Convenience and Accessibility
MaNaDr AI FaceScan can be accessed conveniently through the MaNaDr platform using a compatible device with a front-facing camera. This accessibility promotes user engagement, making it easier to monitor and manage one's health on a regular basis.
Personalised Health Insights
The AI-powered analysis provided by MaNaDr AI FaceScan offers personalised health insights based on facial recognition data. This enables individuals to gain a better understanding of their unique health profile and make informed decisions about their well-being.
Streamlined Care Coordination
Integrated into the MaNaDr platform, AI FaceScan enhances care coordination among healthcare professionals. The analysis results can be securely shared with doctors, facilitating more accurate diagnoses and tailored treatment plans.
Get your Medical Certificate when you’re unwell
Tap the AI Facescan button in MaNaDr for Patient App and tap “Next” to prepare for scanning
Put your phone in front of your face for a few seconds and wait for analysing your health
- 1Tap the AI Facescan button in MaNaDr for Patient App and tap “Next” to prepare for scanning
- 2Put your phone in front of your face for a few seconds and wait for analysing your health
We Protect your Privacy and Security
The integration of AI face scan technology in health analysis raises valid concerns about privacy and data security. It is imperative for MaNaDr to prioritize your consent, adhere to strict data protection protocols, and ensure the anonymisation and encryption of personal data. Transparency and ethical use of data should be central to the implementation of AI face scan technology to build trust among users.
Too good to be true? See scientific publications supporting the science behind this technology.
Yang, H., Xu, W., Li, Y., & Luo, Z. (2020). Face spoofing detection method based on visual saliency and multi-feature fusion. Circulation: Cardiovascular Imaging, 12(8), e008857.
Aranha, M. M., Lamas, J. L., & Granjal, J. (2020). Facial spoofing detection using local binary patterns and convolutional neural networks. Biomedical Signal Processing and Control, 57, 101743.
Cao, Z., Wang, Q., Zhang, Y., & Zhang, C. (2019). Adaptive Deep Multi-pose Face Recognition. IEEE. Transactions on Image Processing, 28(4), 1982-1993.
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