The smartest diagnostic solutions
FaceIA’s mission is to expedite and improve accuracy in the diagnostic process for rare genetic diseases in infants and children.Â
About FACEIA
FACEIA uses artificial intelligence to reliably diagnose rare genetic diseases quickly through image analysis. Our technology uses facial analysis to detect characteristics of diseases that cause abnormalities in facial features. Our neural network automatically combines facial photos with the patient's personal data along with their genetic data.
- Revolutionize the diagnosis of rare diseases
- Expedite and improve accuracy in the diagno
Why Choose FaceIA?
Our Application
The FaceIA app connects families and patients to those in similar situations in order to provide support and to help foster a sense of community. The app also scans for new information and research available on the specific disease that they are affected by to keep families and patients up to date and informed at all times.
Our Mission
At FaceIA, our mission is to revolutionize healthcare delivery by integrating advanced facial recognition technology into the healthcare ecosystem. Specifically, our proprietary facial recognition algorithms are designed to enhance patient identification, streamline administrative workflows, and bolster security measures within healthcare facilities. Our technology is compliant with Canadian healthcare regulations, including the Personal Health Information Protection Act (PHIPA), ensuring that patient data is handled with the utmost confidentiality and integrity.
Our mission is not just conceptual; it's deeply technical. We employ machine learning models trained on diverse datasets to ensure high accuracy in facial recognition, even in challenging conditions such as low light or partial face visibility. Our solutions are designed to integrate seamlessly with existing Hospital Information Systems (HIS) through robust APIs, providing a smooth transition for healthcare providers. Furthermore, we are committed to continuous improvement through R&D, with a focus on enhancing algorithmic efficiency and reducing computational latency.
Our Vision
Our vision is to be the industry standard in healthcare facial recognition technology, initially in the Canadian market and subsequently on a global scale. We aim to achieve this by delivering a product suite that goes beyond mere facial recognition. Our roadmap includes the development of predictive analytics features, leveraging facial recognition data to anticipate patient needs and healthcare outcomes. This aligns with our broader vision of transforming not just identification processes but the entire healthcare experience.
Technically speaking, our vision involves the use of edge computing to facilitate real-time data processing, reducing the need for data transfer to centralized servers and thereby enhancing data security—a critical concern in healthcare applications. We are also exploring the integration of blockchain technology for secure and immutable logging of facial recognition events, providing an additional layer of security and accountability.
Meet The Team
Vahid Ghilav has over a decade of experience in electrical engineering.
Houtan Ghoroori has over 15 years of managerial experience in various sectors including healthcare and marketing
Aref Habibzadeh is an expert in mechanical engineering and project management
Shahram Savad holds a Ph.D. in Medical Genetics and has extensive experience in genetic research
Navid Golchin is a neurosurgeon with expertise in medical systems
